Artificial intelligence

Abstract: Bank branches carry out quality control of solar panels that ensure energy independence and uninterrupted operation of computer equipment in the conditions of an aggressive war caused by Russia, to ensure that the solar panels meet production standards and avoid potential damage to the brand reputation. As sensor costs decrease and connectivity increases, industry is using real-time image analysis to detect quality issues. At the same time, advances in artificial intelligence (AI) enable advanced automation, reduce overall project cost and time, and provide accurate defect detection results in manufacturing plants. As these technologies evolve, AI-assisted inspections are becoming more common outside of the factory environment.

Keywords: artificial intelligence, bank branch, AWS, solar panels

References:

1. Detecting solar panel damage with Amazon Rekognition Custom Labels (стаття) [Електронний Ресурс]. Режим доступу: https://aws.amazon.com/blogs/architecture/detecting-solar-panel-damage-with-amazon-rekognition-custom-labels/
2. Amazon Rekognition (стаття) [Електронний Ресурс]. Режим доступу: https://aws.amazon.com/rekognition/?nc1=h_ls