Industrial automation systems, computer vision applications, and robotic solutions deployed in real-world settings
Automated material handling system deployed at L&T, reducing manual intervention by 80% and increasing throughput by 40%.
Real-time defect detection using deep learning, achieving 99.2% accuracy in manufacturing quality control.
SLAM-based navigation system for warehouse logistics, optimizing path planning and obstacle avoidance.
High-precision motion control for industrial robots, improving repeatability to within 0.1mm accuracy.
Integration of LiDAR, camera, and IMU data for robust environmental perception in dynamic settings.
National finalist project for Flipkart Grid 3.0, designing automated sorting and packaging systems.