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Seedoku is a Computer Vision based interactive Sudoku Game using Hand Detection and Tracking for moving numbers across the frame. This project opens a game of sudoku on the screen and allows you to move the numbers to their appropriate location using your hands.

Developed as a SSN Innovation Centre funded research project, I-Nethra is aimed at bringing quality Home Surveillance at low costs to make it more accesible to the masses. The IoT based Home Security System uses Face Recognition for biometric authorization and is deployed on a Raspberry Pi.

This project focuses on Low Light Photo Enhancement Using Simplified Fully Convolutional Neural Networks. This was attempted to produce a memory efficient model that can effectively run on edge devices and deliver an optimum level of image enhancement and noise reduction.

This project is aimed at detecting traffic violations as they happen and notifying the appropriate authorities automatically. The violations are detected from a real time surveillance camera feed. When a violation is identified, the numberplate of the violating vehicle is captured and the violation details such as location, time and numberplate of violator’s vehicle is sent to a real-time Firebase Database.