Satendra Pratap Singh

Papers

Total Citations

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About

Satendra Pratap Singh is a forward-thinking researcher at the intersection of computer vision and automation, with a primary focus on developing intelligent systems that streamline everyday commercial processes. His most cited work, "Automatic Billing System using Resnet and Image AI" (2021), demonstrates his commitment to applying deep learning to real-world retail challenges. By leveraging ResNet architectures and image recognition, Singh proposed a framework that could automatically identify products and generate bills, reducing human dependency and accelerating transaction times. This contribution, while early in its citation impact with 2 citations, signals a promising trajectory in the automation of point-of-sale systems. Singh’s research addresses a critical gap in modernizing small-scale industries and workshops, where cost and efficiency are paramount. His work stands out for its practical applicability, bridging advanced AI techniques with tangible infrastructure improvements. As automation continues to reshape commerce, Singh’s foundational ideas in billing automation position him as an emerging voice in the field, with potential for significant future influence in smart retail and AI-driven service systems.