VLM driven tool that processes surveillance videos, extracts frames, and generates insightful annotations using a fine-tuned Florence-2 Vision-Language Model. Includes a Gradio-based interface for querying and analyzing video footage.

DeepEYE utilizes computer vision to detect anomalies in video surveillance, offering a proactive security solution. By employing advanced machine learning algorithms, it distinguishes between normal activities and potential threats, enhancing surveillance across sectors like public safety, industry, and smart cities.

Video Surveillance SDK

Bayesian Nowcasting with application to COVID-19 fatalities in Sweden

Developed a Real-Time Emotion Recognition System using Deepface. The system can detect and recognize Emotions in a Real-Time streaming video or through a live webcam and display the results in the screen.

Deep learning-based handgun detection system using computer vision to identify weapons in images, videos, and real-time streams for surveillance and security applications.

AI-powered real-time criminal face detection system | React + Supabase + DeepFace (Facenet512) | Live surveillance, angled face detection, criminal database & role-based access control

NetWatch is a fully offline, self-hosted network monitoring platform giving you complete visibility into your own Wi-Fi network

Summarize videos locally with AI, extracting visual highlights and text summaries from lectures, meetings, and tutorials using CUDA on RTX 40-series GPUs