Bharat in Betastartup field guide
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No. 253Problem statementManufacturing and materials

Strategic Sector Innovation in Object Detection

Source

Source summary

Explore FPGA-based object detection using VEGA/SHAKTI SoCs, image sensors and AI/ML acceleration. The source spans agricultural, diagnostic and other strategic uses, and describes moving software-trained models onto hardware for real-time image processing. This atlas description retains the educational hardware context without operational surveillance or weapons guidance.

No. 383Problem statementManufacturing and materials

Infusion of augmented reality in technical type training and usage of smart glasses to assist technicians.

Use smart AR glasses in technician training and maintenance so wiring diagrams, troubleshooting instructions, checklists, animations and 3D references remain visible while hands are free. Voice-driven retrieval is also requested to support new technicians learning during work. The problem is consulting multiple references while inspecting real equipment.

No. 393Problem statementManufacturing and materials

Development of structural health monitoring (SHM) system for SU-30 MKI aircraft – stabilizer using photonic system.

Develop non-contact structural-health inspection for Su-30 stabiliser structures to identify cracks in hard-to-access areas without dismantling assemblies. The source contrasts this with visual/magnified and dye-penetrant checks; the published title identifies a photonic approach.

No. 405Problem statementManufacturing and materials

Development of an AI enabled robot to carry out phased array ultrasonic inspection on curved/ straight ship hull structure

Develop an AI-enabled robot that follows weld seams, butt joints and their intersections over straight or curved ship hulls while performing phased-array ultrasonic inspection. The stated plate range is primarily 3.15–25 mm. Results and acceptance reports must follow naval weld-quality standards. Autonomous traversal and inspection reporting are both part of the ask.