ujjawalcse / Video-Surveillance

Video-Surveillance

ATM Monitoring using CCTV Feed

• Prepared Dataset and Trained Deep Learning Model for Helmet Detection.

• Prepared Dataset and Trained Deep Learning Model for Face Mask Detection.

• Prepared Dataset and Trained Deep Learning Model for People Counting.

• Prepared Dataset and Trained Deep Learning Model for Animal Detection

• Prepared Dataset and Trained Deep Learning Model for Camera Hiding/Tilting situation combined with some image processing technique

• Used MobileNet SSD and EfficientDet-B0 Models as they are light and efficient in nature.

• converted into .tflite version and lower-bit quantization technique was also used.

• Deployed on Raspberry-Pi with Alarm System

Smart Campus Monitoring using CCTV and Drone Feed

• Prepared Dataset and Trained Deep Learning Model for People Counting and Tracking

• Prepared Dataset and Trained Deep Learning Model for Vehicle Counting and Tracking

• Prepared Dataset and Trained Deep Learning Model for Fire-Smoke-Fog Detection

• Prepared Dataset and Trained Deep Learning Model for Person Activity Recognition

• Prepared Dataset and Trained Deep Learning Model for Animal Detection

• Plant Growth Estimation using Sematic Segmentation method

Surveillance for Defence Sector using Drone Feed

• UAV Detection in challenging situations( IR Camera case, Bird Vs Drone case)

• Prepared Dataset and Trained YoloV5s and EfficientDet-B3 on 3 different publicly available datasets.