Schedule a Call Back
Gautam Solar files patent for AI-based system to detect defects in solar panels
Industry News- Dec 09,24
This advanced system is designed to detect various defects, including micro-cracks, broken cells, dry soldering, latent defects, black borders, scratches, and non-functioning cells.
Gautam Solar, manufacturer of Technically Advanced ModulesTM, files a patent for its latest artificial intelligence (AI)-based system to detect defects in solar panels. This innovative solution integrates advanced imaging and AI technologies to enhance the efficiency and precision of defect detection in photovoltaic cells, setting a new benchmark in the solar industry. The system includes 100% EL testing, incorporating both pre and post-production stages with AI-assisted analysis.
The patent, titled "AI-Based System for Detecting Defects in Solar Panels," leverages electroluminescence (EL) and visual imaging to provide comprehensive real-time defect analysis. This system captures high-resolution EL images through an infrared camera and processes them using advanced machine-learning algorithms. The results are displayed with defect labels, enabling immediate identification and corrective action.
Highlighting the system's unique benefits, Gautam Solar's invention addresses the limitations of conventional methods, which lack automation and often result in human error. The AI-powered software is trained using a comprehensive database of stored images, enabling it to analyse and provide results with remarkable accuracy, the system ensures high precision and enhances throughput, reducing manual intervention and improving production efficiency.
Gautam Mohanka, Director, Gautam Solar said, "Innovation is at the core of our mission at Gautam Solar. This AI-powered defect detection system will transform quality control in the solar manufacturing process, ensuring greater reliability and performance for Technically Advanced ModulesTM while reducing production inefficiencies. We are committed to driving the solar industry towards a smarter, more sustainable future."
This advanced system is designed to detect various defects, including micro-cracks, broken cells, dry soldering, latent defects, black borders, scratches, and non-functioning cells. Additionally, it ensures robust analysis at various stages.
The development of this AI-based system marks a significant step forward in the field of solar technology. By integrating real-time monitoring and AI-driven repair suggestions, Gautam Solar’s AI System to address defects early, thereby improving the overall quality and reliability of solar panels.
Related Stories
Process Equipment
Spray Engineering Devices drives Parag Agro’s 7000 TCD expansion
SED’s phased modernisation programme has enabled Parag Agro to scale sugar production to 7,000 TCD while achieving significant gains in energy efficiency and sustainability.
Read moreRailways
Aimtron enters railway signalling with focus on safety-critical electronics
Aimtron Electronics has expanded into railway signalling electronics, leveraging its regulated manufacturing expertise to support safety-critical rail and metro infrastructure in India.
Read moreChemicals, Lubricants & Raw Material
How is AI shaping the future of cement milling?
AI is transforming cement milling by enabling dynamic, data-driven control that improves energy efficiency, stabilises throughput and enhances asset reliability. By leveraging real-time data, predic..
Read moreRelated Products
Integrated Electric Gripper S Series
ELECTRICAL & ELECTRONIC EQUIPMENT
IBK Engineers Pvt Ltd offers a wide range of integrated electric gripper S series.
Geared Electric Motors
ELECTRICAL & ELECTRONIC EQUIPMENT
Delco Fans Pvt Ltd offers single phase capacitor run and three
phase geared Instrument motors, totally enclosed face/foot mounted.
“Kusam-Keco” Partial Discharge Acoustic Imager - Model - Km-pdai
ELECTRICAL & ELECTRONIC EQUIPMENT
‘Kusam-Meco’ has introduced a new “Partial Discharge Acoustic Imager Model KM-PDAI.
latest News
Subscribe to iNoW
For Industry News on WhatsApp, Give a Miss Call on: +91 84228 74016
