CHNSpec Technology （Zhejiang）Co.,Ltd

Rice bacterial leaf blight is a major disease affecting rice yield and food security. Traditional field inspections struggle to identify the disease during the asymptomatic stage, and by the time lesions appear, the effectiveness of prevention and control is significantly reduced. Hyperspectral imaging, with its characteristic of combining images and spectra, can capture subtle physiological and biochemical changes caused by the disease, making it an important means for early diagnosis of plant diseases. In a study oriented toward the early diagnosis of rice bacterial leaf blight, the scientific research team selected the FigSpec FS-IQ-VISNIR portable hyperspectral camera produced by CHNSpec to conduct data collection, providing a stable and reliable spectral data source for intelligent disease recognition. I. Experimental Equipment and Data Collection Equipment Model: FigSpec FS-IQ-VISNIR Hyperspectral Camera. Spectral Range: 400-1000 nm, with a spectral resolution of 2.5 nm. Collection Conditions: Sunny daytime between 10:00–14:00; lens distance from the canopy was 60-80 cm; DN values were controlled at 3000-4000 by adjusting exposure time in real-time to reduce the impact of overexposure and noise. Experimental Objects: Rice leaf samples of three levels: healthy, mildly infected (asymptomatic stage), and severely infected. The FS-IQ hyperspectral camera supports fast, non-contact imaging and can stably acquire leaf spectral information in both controlled environments and field scenarios, laying the data foundation for subsequent feature extraction and model training. II. Data Preprocessing and Key Band Mining The original hyperspectral data underwent dark current correction, white board correction, and Savitzky-Golay smoothing. After removing low signal-to-noise ratio bands at both ends, 243 high-quality bands were retained for modeling analysis. The study used deep learning methods to filter out characteristic bands sensitive to bacterial leaf blight from the full spectrum, mainly concentrated in: Green Peak Region (520–550 nm): Related to changes in chlorophyll content. Red Edge Region (680–720 nm): Reflecting leaf cell structure and stress states. Using only about 8% of the core bands can retain most of the discriminatory information, reducing data dimensionality while improving model operational efficiency and recognition stability. III. Disease Recognition Effect and Application Value In the classification and recognition task of bacterial leaf blight, model verification was conducted based on the spectral data obtained by FS-IQ: Using a small number of core bands as input, the classification accuracy reached over 96%, which was better than the direct input of the full spectrum. For scenarios with unbalanced samples, after expanding minority samples through generative methods, the overall performance of the model improved by 6%–13%. The band selection results were consistent with the laws of plant physiological changes, possessing good mechanistic interpretability. The FS-IQ hyperspectral camera demonstrated the following adaptation advantages in this study: Rich bands and stable signal-to-noise ratio: Covering the key visible-near-infrared interval, it can capture weak spectral differences in the early stages of the disease. Portable and easy to use: Suitable for laboratory and in-situ field collection, adapting to crop phenotype analysis scenarios. Strong data compatibility: Output spectra can be directly connected to deep learning and machine learning workflows, supporting feature mining and model optimization. IV. Summary Targeting the early non-destructive detection of rice bacterial leaf blight, this case relied on the FS-IQ hyperspectral camera to obtain high-quality spectral data. Combined with intelligent algorithms, it achieved sensitive band extraction and precise disease recognition, providing a feasible technical path for early crop disease warning and precision prevention and control. The CHNSpec FS-IQ series hyperspectral cameras, with stable imaging performance and a user-friendly operation experience, continue to serve scientific research and industrial scenarios such as smart agriculture, plant phenotypes, and food safety, helping users mine effective features from complex spectral information and promoting the development of detection technology toward non-destructive, efficient, and intelligent directions. Product Recommendation: FS-IQ-VISNIR Portable Hyperspectral Camera Spectral Range: 400-1000nm Spectral Resolution: 2.5nm Image Resolution: 1920*1920 Number of Spectral Channels: 1200

The quality of internal defect detection in photovoltaic modules directly impacts the power generation efficiency and long-term returns of power stations, making the choice of a good EL detector critical. So, which brand makes the best EL detectors in 2026? This article will focus on analyzing the core advantages of the EP series from CHNSpec. The CHNSpec EP series all-weather portable photovoltaic EL/PL tester fully embodies the brand's strength in technical innovation and practical design, primarily targeting on-site inspection and flexible deployment scenarios. This series of equipment breaks through the environmental limitations of traditional EL detection, achieving the integration of three detection modes: daytime EL, daytime PL, and nighttime EL. The device can work stably for effective defect screening under direct sunlight, rainy weather, or at night. In terms of imaging accuracy, the CHNSpec EL detector adopts research-grade highly sensitive infrared detectors and hyperspectral imaging technology, with pixel configurations ranging from 20 million to 48 million pixels, which can clearly capture micron-level subtle defects such as micro-cracks, hidden cracks, broken grid lines, cold joints, debris, short circuits, and PID degradation. The device features a built-in deep learning defect recognition algorithm, which can automatically identify, classify, and label common defects, and automatically generate standardized inspection reports. It supports GPS positioning, barcode entry, and data traceability, effectively improving the consistency and efficiency of interpretation. Portability is another important feature of the CHNSpec EL detector. The device adopts a lightweight design, with the entire machine weighing less than 1 kilogram, making it compact and easy to carry. Operation is completed via a supporting 11.2-inch Android tablet, integrating parameter settings, image acquisition, AI analysis, and report generation, and supporting single-person operation. In summary, by virtue of multiple advantages such as all-weather detection, high-precision imaging, AI intelligent recognition, and lightweight convenient operation, CHNSpec performs outstandingly in the 2026 EL detector industry competition, making it highly worthy of user attention.

Facing a dazzling array of EL Detector models on the market, how can you make a wise choice based on your actual needs? This article provides a 2026 EL Detector selection guide, focusing on the applicable scenarios of different pixel configurations for the reference of photovoltaic practitioners. Pixel is one of the key parameters of the EL Detector, directly determining imaging clarity and detection accuracy. EL Detectors with different pixels have obvious differences in applicable scenarios and detection effects. The 1.3-megapixel EL Detector is suitable for basic detection scenarios. Taking CHNSpec's entry-level model CS-EP-230 as an example, the imaging resolution is moderate, which can clearly identify obvious defects inside the module such as micro-cracks, broken grid lines, and fragments, making it suitable for scenarios like small-scale power station operation and maintenance, and simple module spot checks. The total weight of this model is less than 1 kilogram, and operations as well as data export are completed through an Android tablet, satisfying basic detection needs. The 2-3 megapixel EL Detector is the mainstream choice on the market. CHNSpec's mid-range model CS-EP-250 mostly adopts this pixel, with imaging resolution upgraded to above 1920×1080, which can capture finer defects, making it suitable for conventional detection scenarios such as daily power station operation and maintenance, batch module spot checks, and incoming material inspection, balancing both accuracy and cost-effectiveness. This model is equipped with a 2-3 megapixel hyperspectral imaging system, reaching a resolution of up to 2080×1544, supporting three detection modes: daytime EL, daytime PL, and nighttime EL, with built-in basic AI defect recognition functions, and supporting GPS positioning and module barcode entry-. The 3-5 megapixel EL Detector is suitable for high-precision detection scenarios. CHNSpec's CS-EP-270 adopts a 5-megapixel hyperspectral imaging system, with a resolution of up to 2560×2048, which can clearly capture subtle defects inside the module such as micro-scale cracks and fine broken grid lines, making it suitable for scenarios with high requirements for detection accuracy, such as laboratory research and development, module quality inspection, and defect mechanism research. It should be noted that pixels are not the only factor determining detection accuracy. The hyperspectral imaging system, lens quality, and algorithm optimization of CHNSpec's EL Detector jointly affect imaging clarity and detection accuracy. When selecting models, users need to make a comprehensive judgment by combining pixels with other core parameters to choose the equipment that matches their own needs. In addition, CHNSpec has also launched the EP-N series with 20 to 48 megapixels, facing full-scenario requirements such as on-site operation and maintenance of power stations and module arrival acceptance, supporting daytime EL, daytime PL, and nighttime EL full-mode detection, providing users with more gradient choices.

In 2026, the application scenarios of EL inspection technology have expanded from laboratories to every link of the entire photovoltaic industry chain. From module production quality control, arrival acceptance, and power station installation inspection to daily operation and maintenance and post-disaster assessment, EL detectors are becoming core tools for quality management and control throughout the entire life cycle of photovoltaics. This article analyzes the application requirements of EL detectors in different scenarios and, combined with the scenario adaptation capabilities of CHNSpec's product system, provides a reference for user selection. Laboratory R&D and quality control scenarios have relatively high requirements for inspection accuracy. This scenario requires high-definition imaging and precise defect analysis capabilities to support process improvement and material research. Models such as the CHNSpec laboratory series FigSpec-PL-500, by virtue of hyperspectral imaging technology and professional analysis software, can meet the high-precision inspection needs of photovoltaic material research and quality control. High-end models with 3 to 5 million pixels (such as the CS-EP-270) are suitable choices for this scenario, with a resolution reaching up to 2560×2048, which can clearly capture subtle defects such as micro-cracks. Module arrival acceptance and incoming material inspection scenarios emphasize efficiency and immediacy. Incoming material inspection needs to quickly identify micro-cracks that may be generated during transportation while avoiding delaying the installation progress. The CHNSpec CS-EP series all-weather portable photovoltaic EL/PL testers can achieve immediate spot checks at warehouses or unloading sites to control incoming quality. The equipment requires no auxiliary facilities and can perform in-situ inspection directly at the incoming material site. Mid-range models with 2 to 3 million pixels (such as the CS-EP-250) are more suitable for such conventional inspection scenarios. Post-installation power station inspection and daily operation and maintenance scenarios have higher requirements for portability. Post-installation requires verification of whether the installation process has caused module micro-cracks, while daily operation and maintenance require a rapid diagnosis of module health status. The CHNSpec EL detector adopts a lightweight design with a total machine weight of less than 1 kilogram and completes the entire process operation via a tablet computer, allowing rapid deployment in complex terrains. In common daily inspections of power stations, an entry-level model with 1.3 million pixels (such as the CS-EP-230) can be selected, while for more refined inspection needs such as post-disaster assessment, high-pixel models can be chosen to carry out deep-level defect investigations. Drone airborne inspection scenarios are suitable for rapid defect screening of large-area photovoltaic power stations. The CHNSpec EP-DU/EP-NU series airborne EL/PL inspection detectors, specially built for drone inspection scenarios of large-area photovoltaic power stations, are fully adapted to DJI M350/M400 drone platforms, and support full-mode inspection including nighttime EL, daytime EL, and daytime PL. The fuselage adopts a lightweight design to reduce the drone load and is equipped with a smart controller featuring a built-in screen to achieve real-time preview of inspection images. Overall, through a product line layout spanning multiple series such as portable, airborne, and online equipment, CHNSpec covers the full-chain EL inspection needs from laboratories to outdoors, allowing users in different scenarios to choose matching models within its system.

Under the background of high-quality development of the photovoltaic industry in 2026, the brand competition of EL Detectors presents a pattern driven by both technological innovation and scenario adaptation. Faced with numerous brands on the market, how to choose products that adapt to one's own needs has become a focus of industry attention. Among them, CHNSpec — a national "Specialized, Refined, Differential, and Innovational" Little Giant enterprise and a high-quality domestic manufacturer of EL Detectors, has become the preferred brand for many enterprises and a new trend in the development of domestic EL inspection equipment, leveraging its all-weather inspection technology and AI intelligent recognition capabilities. I. New Trends in EL Detector Brand Development in 2026 All-weather inspection becomes standard: The pain point of traditional EL detectors being "unable to measure during the day" has been gradually resolved, and multi-mode functions such as daytime EL, daytime PL, and nighttime EL have become standard features of mainstream brands. Widespread application of AI intelligent recognition: Based on deep learning defect recognition models, automatic classification, area quantification, and report generation are achieved, significantly improving inspection efficiency and reducing labor costs. Development towards portability and lightweight: With the growth of outdoor operation and maintenance needs, the weight of portable EL equipment continues to decrease, making operation more convenient and adapting to complex outdoor scenarios. Full-link data interconnection: EL inspection equipment is connected with MES systems and power station management platforms to achieve automatic data upload, analysis, and traceability, improving the level of quality management and control. II. CHNSpec: A Technologically Innovative Brand Conforming to Trends As a national "Specialized, Refined, Differential, and Innovational" Little Giant enterprise, CHNSpec has been deeply engaged in the field of optical inspection for over a decade, conforming to the new trends of EL detector brand development in 2026: (1) All-Weather Inspection Technology: The Solution to Industry Pain Points The CHNSpec EP-D/EP-N series EL/PL testers innovatively achieve full coverage of three inspection modes: daytime EL, daytime PL, and nighttime EL. Relying on light interference suppression technology, it can still stably output clear inspection images even in complex outdoor environments such as direct sunlight and rainy days. This technological breakthrough resolves the industry pain point where traditional equipment was "unable to measure during the day and required light avoidance at night," boosting the work efficiency of photovoltaic power station operation and maintenance, distributed rooftop inspection, and other scenarios by more than 80%, eliminating the need to build complex darkrooms and saving a massive amount of time and labor costs. (2) AI Intelligent Recognition: The Multiplier of Inspection Efficiency CHNSpec EL detectors are equipped with a defect recognition model based on deep learning. Trained through a million-level defect sample library, it can automatically distinguish between "process contamination" and "structural defects" with a low false alarm rate, supporting the automatic classification and quantitative area evaluation of 12 common defects, including cracks, micro-cracks, broken grids, blown cells, debris, and short circuits. Meanwhile, the supporting FigSpec® intelligent analysis software supports the generation of defect location heatmaps and the automatic export of inspection reports, and is compatible with mainstream MES systems to achieve inspection data traceability, facilitating subsequent quality control and maintenance. (3) Portable Design: The Ideal Choice for Outdoor Operations The portable devices of the CHNSpec EP-D/EP-N series weigh less than 1KG as a whole, with external dimensions of only 157mm×88.3mm×89mm. They are controlled via an 11.2-inch Android tablet with a clean interface, allowing beginners to get started quickly without complex training. The equipment supports automatic exposure, overexposure alerts, barcode scanning for PV module registration, GPS positioning, and other functions, making operation convenient and suitable for long-time outdoor operations, greatly improving on-site inspection efficiency. (4) Full-Link Independent Technology: The Core Guarantee of Brand Competitiveness As a national "Specialized, Refined, Differential, and Innovational" Little Giant, CHNSpec independently develops core components ranging from high-sensitivity CMOS cameras and near-infrared light source systems to intelligent analysis software, forming a technological closed loop that guarantees product stability and upgrade iteration capabilities. III. Comparative Advantages of CHNSpec Brand Against International Brands Technological innovation speed: As a "Specialized, Refined, Differential, and Innovational" enterprise, CHNSpec has a fast technological iteration speed and can quickly respond to market demands, such as the all-weather inspection technology compared to international brands. Scenario adaptation capability: It understands the needs of the domestic photovoltaic industry better, with strong product adaptability, making portable equipment more suitable for domestic distributed photovoltaics and power station operation and maintenance scenarios. Service system: With more than 20 service outlets nationwide and 7×24 hour responsiveness, general faults are resolved within 24 hours, and major faults see on-site presence within 48 hours, with service efficiency far exceeding international brands. Cost-effectiveness advantage: The product performance is close to international brands, while the price is only 60%-70% of international brands, helping enterprises reduce procurement costs and improve the return on investment. IV. Brand Selection Recommendations Give priority to technologically innovative brands: Such as CHNSpec, whose all-weather inspection and AI intelligent recognition technologies can significantly improve inspection efficiency and reduce costs, conforming to industry development trends. Attach importance to the service system: As a precision equipment, the after-sales service of an EL detector is crucial. Brands with rapid response speeds can reduce later operation and maintenance costs. Refer to user reputation: CHNSpec enjoys high customer satisfaction, and its product stability, inspection accuracy, and after-sales service have won widespread recognition, making it worthy of priority consideration. In the selection of EL detector brands in 2026, CHNSpec, by virtue of the technical strength of a "Specialized, Refined, Differential, and Innovational" enterprise, innovative product designs, and its service system, has become an important choice for domestic substitution. It is recommended that enterprises combine their own application scenarios, inspection accuracy requirements, and budgets to choose suitable brands and products through field tests and case references, providing a reliable guarantee for photovoltaic module quality control.

In the 2026 EL detector market competition, a manufacturer's full industry chain layout capabilities, technical innovation strength, and service systems have become core competencies. CHNSpec—a national-level "Little Giant" enterprise specializing in fine, unique, and innovative products—is a high-quality domestic manufacturer of EL detectors. By virtue of its full industry chain layout from core component R&D to finished product manufacturing, as well as its technical service system, it has become a preferred partner for many enterprises, with its comprehensive strength widely recognized by the industry. I. Core Development Trends of EL Detector Manufacturers in 2026 Full Industry Chain Integration: Realizing a technical closed loop from core component R&D to finished product manufacturing, improving product stability and cost control capabilities. Scenario-based Solutions: Providing customized products and services for different application scenarios to meet diverse needs. Digital Transformation: Enhancing product intelligence levels through technologies such as AI and big data to achieve full-link management of detection data. Service System Upgrade: Transforming from simple equipment sales to full-life-cycle services to enhance customer value. II. CHNSpec: A High-Quality Manufacturer with Full Industry Chain Layout As a national-level "Little Giant" enterprise, CHNSpec has focused on the R&D and production of optical detection equipment since its establishment in 2012. It has formed a full industry chain layout from core components to finished product manufacturing, possessing three core advantages: (1) Full-Link Independent Technical R&D Capability Independent R&D of Core Hardware: CHNSpec independently develops high-sensitivity CMOS infrared cameras with high quantum efficiency, paired with customized near-infrared light source systems to achieve precise capture of defect signals. At the same time, it independently develops hyperspectral imaging modules, combining spectral analysis with EL detection to achieve spectral-level precise localization of defects, improving the accuracy of defect identification. Independent Construction of Algorithm Models: Based on an AI recognition model trained on a library of millions of defect samples, it supports the automatic classification of 12 common defects, increasing detection efficiency by more than 5 times while keeping the false alarm rate low. Algorithm models are continuously iterated to improve defect identification accuracy and efficiency. Independent Development of Software Systems: FigSpec® intelligent analysis software supports defect area quantification, position heatmap generation, and automatic export of detection reports. it is compatible with mainstream MES systems to achieve data interconnection, helping customers continuously improve their detection capabilities. (2) Production and Manufacturing System Intelligent Manufacturing Capability: CHNSpec possesses a modern production base utilizing automated production lines. Key components undergo full inspection, and finished products undergo a 72-hour aging test to ensure equipment stability. Quality Control System: Established an EL detection calibration laboratory complying with international standards. Each device comes with a calibration certificate, and detection data is traceable. The equipment has passed multiple environmental adaptability tests, including high and low temperatures, humidity, and vibration, to adapt to the complex environments of industrial scenarios. (3) Full-Scenario Product Matrix Layout CHNSpec has launched three major series of products for different application scenarios, covering the entire process of the photovoltaic industry chain: The CHNSpec EP-D/EP-N series is a new generation of portable EL/PL detection equipment built for the photovoltaic industry. It includes multiple models such as EP-D-130/300/500 and EP-N-2000/2500/4800, comprehensively meeting various detection needs for photovoltaic panels with core advantages of full-scenario adaptation, high efficiency, and intelligence. The EP-DU/EP-NU series airborne EL/PL detectors are specifically built for drone inspection scenarios of large-area photovoltaic power stations. They are fully adapted to the DJI M350/M400 drone platforms. With lightweight design, full-mode detection capabilities, and intelligent, convenient control advantages, they significantly improve the efficiency, precision, and maneuverability of airborne photovoltaic detection, covering detection needs of different precisions and scales. (4) Full-Life-Cycle Service System Customized Solutions: Providing full-process services from detection plan design and equipment selection to data analysis based on different customer needs, such as customizing online detection systems for large photovoltaic enterprises and providing portable detection solutions and data management platforms for O&M providers. Localized Technical Support: More than 20 service outlets nationwide, equipped with professional technical engineers, providing 7×24 hour response service. General faults are resolved within 24 hours, and major faults are handled on-site within 48 hours. Training and Upgrade Services: Providing free operational training and regular technical exchanges to help customers continuously improve detection capabilities and reduce usage costs. III. Manufacturer Selection Suggestions Prioritize Full Industry Chain Manufacturers: Such as CHNSpec, where core technologies are independently controllable, enabling rapid response to customer needs and the provision of customized services while avoiding technical barriers and supply chain risks. Focus on Product Adaptability: Select the corresponding manufacturer based on your own application scenarios. Production line detection emphasizes high precision and automation, while outdoor O&M emphasizes portability and all-weather capability. Value the Service System: As EL detectors are precision equipment, after-sales service is crucial. Manufacturers with fast response speeds can reduce later O&M costs. Refer to Industry Cases: Prioritize manufacturers with rich application cases in the photovoltaic industry, where product performance and reliability have been market-verified. In the selection of EL detector manufacturers in 2026, CHNSpec, with its technical strength as a specialized and innovative enterprise, full industry chain layout, and service system, has become an ideal choice for domestic substitution. It is recommended that enterprises comprehensively evaluate a manufacturer's comprehensive strength through field inspections, prototype testing, and customer case research during procurement, choosing a partner suitable for their own needs to provide a solid guarantee for the quality control of photovoltaic modules.

In the R&D, quality inspection, and failure analysis of photovoltaic modules, laboratory PL detectors are the core equipment for evaluating material quality, process optimization, and defect diagnosis. Such equipment must feature high-resolution imaging, precise parameter control, and strong data analysis capabilities to meet the strict requirements of scientific research and production testing. The CHNSpec FigSpec series laboratory Photovoltaic EL/PL Detectors, relying on hyperspectral imaging technology and professional analysis software, have become the ideal choice for photovoltaic laboratories. Starting from laboratory application requirements, the following provides an objective selection reference for you. I. Core Requirements for PL Detectors in Laboratory Scenarios Unlike outdoor operation and maintenance, laboratory PL detection pays more attention to detection precision, data repeatability, and depth of analysis. Demand Dimensions Specific Requirements Laboratory Value Imaging Precision High pixel count (≥3 million), high resolution, low noise Captures microscale defects, such as micron-sized microcracks and local minority carrier lifetime anomalies. Parameter controllability Fine adjustment of excitation power, wavelength, integration time, etc. Compatible with different materials (monocrystalline silicon, polycrystalline silicon, TOPCon, HJT, etc.) Data Analysis Supports minority carrier lifetime calculation, quantitative defect analysis, and data export Meets the needs of scientific research paper publication and process optimization Stability Long-term continuous operation with good data repeatability Ensuring the reliability of experimental results and reducing systematic errors Compatibility Adapts to samples of different sizes (cells, mini modules, full-size modules) Meets the needs of various experimental scenarios II. Core Performance of CHNSpec FigSpec Series Laboratory PL Detectors The CHNSpec FigSpec series laboratory Photovoltaic EL/PL Detectors, including models such as FigSpec-PL-500 and FigSpec-PL-800, are designed specifically for photovoltaic material research and quality control. The core performance is as follows: 1. Hyperspectral imaging system for precise capture of microscopic defectsEquipped with a 5-megapixel hyperspectral camera, the resolution reaches 2448×2048, and the spectral range covers 900-1700nm, which can clearly present the photoluminescence distribution of silicon materials. Utilizing cooled CCD technology, the noise level is as low as 0.01e-, ensuring imaging quality under weak light signals and enabling the detection of micron-level micro-cracks and local minority carrier lifetime anomalies that are difficult for traditional equipment to find. Actual tests by a certain photovoltaic research institute show that FigSpec-PL-500 can identify micro-cracks with a width of less than 5μm, and the minority carrier lifetime measurement error is controlled within ±3%. 2. Flexible parameter adjustment to adapt to diversified experimental needsProvides full-parameter manual adjustment functions, including: Excitation Light Source: 808nm/532nm dual wavelengths optional, with power continuously adjustable from 0-50W to meet excitation needs of different materials. Integration Time: Fine adjustment from 1ms-10s to adapt to samples with different luminescence intensities. Filtering System: Multiple sets of narrow-band filters, which can be replaced according to experimental needs to effectively filter out background noise. Imaging Mode: Supports 2D imaging and 3D pseudo-color display to intuitively present defect distribution and minority carrier lifetime gradients. 3. Professional analysis software to deeply mine data valueEquipped with FigSpec Analyzer professional analysis software, featuring the following core functions: Minority Carrier Lifetime Calculation: Supports steady-state and transient PL analysis, automatically generating minority carrier lifetime distribution maps. Defect Quantitative Analysis: Can count the number, area, and distribution density of defects, supporting data export to Excel. Comparative Analysis: Supports overlaying and comparing PL images of different batches and processes to intuitively show differences. Report Generation: Automatically generates standardized experimental reports, supporting customized templates to meet research and quality inspection needs. 4. Stable and reliable design to ensure consistency of experimental resultsAdopts an industrial-grade stable structural design with good earthquake resistance on the optical platform; the drift amount is less than 0.5% during long-term continuous operation (≥8 hours). Equipped with a constant temperature cooling system to ensure stable camera working temperature and reduce the impact of temperature fluctuations on detection results. Supports automatic sample positioning and focusing, improving detection efficiency and repeatability, suitable for batch sample detection. III. Selection Suggestions and Experimental Application Scenarios 1. Selection Suggestions Scientific Research Laboratories: FigSpec-PL-800 is recommended, featuring an 8-megapixel hyperspectral camera and research-grade analysis software, supporting transient and steady-state PL analysis, suitable for material mechanism research and new battery technology development. Quality Inspection Centers: FigSpec-PL-500 is recommended, with 5 megapixels, balancing performance and cost, supporting batch sample detection and quantitative defect analysis to meet production quality control needs. University Laboratories: FigSpec-PL-300 is recommended, with 3 megapixels and complete basic analysis functions at a moderate price, suitable for teaching and basic research. 2. Typical Application Scenarios Cell Process Optimization: Analyze the impact of processes such as diffusion, etching, and coating on minority carrier lifetime through PL image analysis to optimize process parameters. Module Failure Analysis: Detect defects such as micro-cracks, broken grids, and hot spots, analyze the causes of failure, and provide a basis for product improvement. New Material Research: Adapt to new battery technologies such as TOPCon, HJT, and perovskite to evaluate material quality and interface characteristics. Incoming Inspection: Perform batch inspection on silicon wafers and cells to screen out unqualified products and control quality from the source. IV. Summary The CHNSpec FigSpec series laboratory Photovoltaic EL/PL Detectors meet the strict requirements of photovoltaic laboratories for detection precision and analysis depth with three core advantages: high-resolution imaging, flexible parameter adjustment, and professional data analysis. This product series is widely used in the R&D centers of many photovoltaic enterprises and university laboratories, with stable and reliable performance and a complete technical support and after-sales service system, making it a high-quality choice for photovoltaic material research and quality control. Please refer to the official description from CHNSpec for specific details.

In the sectors of photovoltaic power station operation and maintenance (O&M) and module production quality control, the Photovoltaic EL Crack Detector is the core equipment for troubleshooting "hidden injuries" such as internal micro-cracks, broken grids, and debris within modules. These directly affect the power generation efficiency and long-term revenue of the station. Currently, there are many brands on the market, and products differ significantly in technical parameters, adaptation scenarios, reputation feedback, and after-sales guarantees. This article focuses on mainstream brands and conducts a comparison across three major dimensions—core strength, market reputation, and after-sales systems—to provide a reference for users with different needs. I. Core Strengths and Product Characteristics of Mainstream Brands (1) CHNSpec (Zhejiang) CHNSpec has been deeply involved in the fields of optical imaging and spectral detection for many years. It is one of the earliest domestic enterprises to integrate hyperspectral technology into photovoltaic EL detection. Its product line covers multiple series, including portable, airborne, and online equipment, adapting to scenarios such as power station site inspection, laboratory R&D, and incoming module sampling. Its core product, the CS-EP series portable EL detector, breaks through the limitation of traditional equipment being "only measurable at night." It supports three detection modes—daytime EL, daytime PL, and nighttime EL—and can operate stably under direct sunlight or rainy environments without the need to build a darkroom. On the hardware side, it is equipped with a 1.3-megapixel to 5-megapixel hyperspectral imaging system, paired with AI defect recognition algorithms. It can automatically identify various subtle defects such as micro-cracks, broken grids, and short circuits, reducing manual judgment errors. The portable model weighs less than 1kg, and operations, data export, and report generation can be completed via an Android tablet. It supports GPS positioning and barcode entry, achieving full traceability of detection data. (2) Hanpu Precision (Hangzhou) Hanpu Precision focuses on the R&D and production of photovoltaic testing equipment. Its products are characterized by stable operation, strong adaptability, and balanced cost-effectiveness. It mainly targets the mid-range market, facing small and medium-sized photovoltaic enterprises, distributed power station O&M teams, and third-party testing institutions. The hardware selection is rigorous, and the structural design is sturdy, adapting to long-term, high-intensity continuous operations in factories with low failure rates and controllable maintenance costs. It supports dual detection modes for single modules and strings, is equipped with a carbon fiber tripod and a 360° rotating gimbal, and has passed the IP67 protection level test. It can operate stably in a wide temperature range of -10°C to 40°C and in complex terrains such as mountains and deserts. The supporting software is intuitive to operate, has a built-in Wi-Fi module, and supports real-time image transmission, defect annotation, and cloud synchronization, allowing for batch generation of detection reports, which fits the standardized processes of third-party testing. (3) LAILX (Suzhou) LAILX focuses on the field of photovoltaic power station detection. Its product line includes portable EL detectors, string EL detectors, and drone EL testers, emphasizing detection needs in complex outdoor environments. It is widely used in distributed photovoltaics and mountain power station scenarios. The representative product, the LXG50 portable EL detector, weighs 5kg and adopts a portable trolley case design for strong portability. It adapts to temperature environments from -30°C to 50°C and supports operations in multiple scenarios such as deserts, plateaus, rooftops, and agriculture-light complementarity. The equipment is equipped with a high-definition imaging module with uniform imaging clarity and does not require auxiliary focusing lighting, resulting in a low operational threshold. An optional IV curve testing module can be added to complete both module crack detection and electrical performance testing simultaneously, meeting one-stop detection needs. (4) GMC-I (Shanghai) GMC-I belongs to the German GMC-I Group. Relying on the group's century-long accumulation of electrical measurement technology, it focuses on photovoltaic power station O&M detection equipment. Its EL detector products continue the German industrial design concept, with outstanding stability and compatibility, focusing on large-scale ground power stations, high-end module production enterprises, and the scientific research institution market. The core components of the equipment use imported chips and cooled science-grade CCD cameras, which have strong weak-signal capture capabilities and can accurately identify tiny micro-cracks. It supports 1500V high-voltage module detection and adapts to mainstream high-efficiency module specifications. The software system has strong compatibility and can realize data interconnection with IV curve testers and insulation testers under the GMC-I Group, forming a complete power station detection solution suitable for large-scale projects with requirements for equipment consistency and data linkage. II. After-Sales Guarantee System: Comparison of Service Capabilities After-sales guarantee directly affects the equipment usage cycle and O&M efficiency. The core factors are warranty policy, response speed, service outlets, and training support. CHNSpecThe after-sales system is comprehensive, with more than 15 service outlets nationwide. It provides a 1-year warranty for the full product line, and core components can receive extended warranties. The response mechanism is a 48-hour rapid response, and original factory engineers provide on-site maintenance and component replacement services. It provides free on-site operational training covering equipment debugging, software usage, and defect judgment, supplemented by video tutorials and online technical support to solve usage problems in a timely manner. For corporate users, customized after-sales plans and regular return visits for maintenance can also be provided. Hanpu PrecisionIt implements a "24-hour response, 72-hour failure resolution" mechanism and provides a 1-year warranty for the entire machine, with free replacement of core components for non-human damage. The service team focuses on the photovoltaic industry and is familiar with common equipment failures. It can quickly solve software operation and parameter setting problems through remote guidance. Users in remote areas can enjoy on-site service from third-party cooperative outlets, reducing after-sales costs. It provides free basic operational training and detailed user manuals, suitable for small and medium-sized users to get started quickly. LAILXIt provides a 1-year warranty for the entire machine and lifelong technical support services. The response time is 36 hours. Conventional failures can be solved through remote assistance, while complex failures are handled by engineers on-site. For vulnerable components of outdoor equipment, it provides preferential replacement policies. It provides free equipment debugging and operational training, along with online communication groups where technical personnel answer questions in real-time, adapting to the characteristics of distributed photovoltaic users who are scattered and have varying O&M capabilities. GMC-IRelying on the group's global service network, it provides a 1-year warranty in China, and core components can be extended to 2 years. Professional engineers are arranged to connect within 48 hours, supporting remote diagnosis and on-site maintenance. It provides full-process customized training, including equipment operation, data calibration, and maintenance, supplemented by English technical documents to meet the needs of foreign enterprises and export projects. It regularly releases firmware updates to optimize equipment performance and ensure long-term stable operation. III. Brand Selection Suggestions Integrating technical strength, market reputation, and after-sales guarantees, users with different needs can refer to the following directions: Pursuing all-weather detection and AI intelligent recognition, adapting to efficient operations in multiple scenarios: Priority should be given to CHNSpec. It is suitable for large-scale power station O&M, batch sampling of modules, and scenarios with high efficiency requirements. Limited budget, focusing on stability, durability, and balanced cost-effectiveness, adapting to distributed photovoltaics and small/medium enterprises: Hanpu Precision is a suitable choice. Its basic detection performance is in place, and after-sales response is timely, fitting daily O&M needs. Focusing on outdoor environments such as mountains and deserts, requiring portability, flexibility, and expandable functions: LAILX has strong adaptability and good environmental stability. The optional IV testing module can be selected to meet one-stop detection needs. Large-scale ground power stations and high-end module production enterprises focusing on stability, precision, and system compatibility: GMC-I is worth considering. Relying on the group's technical accumulation, the equipment is stable and accurate with strong data interconnectivity, adapting to the standardized O&M of large projects. The choice of a Photovoltaic EL Crack Detector does not require blind pursuit of high-end configurations; the core is to match one's own detection scenarios, budget, and O&M capabilities. Give priority to equipment imaging clarity, defect recognition accuracy, and environmental adaptability, while also valuing after-sales response speed and service professionalism. Only then can you choose equipment that fits your own needs and provides a guarantee for the long-term stable operation of photovoltaic modules.