Durgesh Srivastava

Papers

Total Citations

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About

Durgesh Srivastava is a rising researcher at the intersection of intelligent systems and sustainable automation, with key contributions in computer vision, robotics, and Industry 4.0 technologies. His most cited work, "Image Processing Based Intelligent Mini Robotic Face Recognition System" (2023, 18 citations), addresses the critical challenge of managing massive data flows from proliferating Internet-connected devices by integrating machine learning with image processing for real-time robotic identification. This work demonstrates his ability to solve practical big data problems through embedded intelligence. More recently, Srivastava has advanced the field with "Unleashing Sustainable Efficiency: The Integration of Computer Vision into Industry 4.0" (2024, 5 citations), where he explores how computer vision—combined with IoT, AI, and big data—can drive eco-friendly manufacturing. His research uniquely bridges the gap between high-performance automation and environmental sustainability, positioning him as a forward-thinking contributor to the next wave of smart industrial systems. With a focus on deploying vision-based solutions for resource efficiency, Srivastava’s work is gaining traction among researchers seeking to harmonize technological progress with sustainable development goals.