Visual intelligence for your home.

Security reconnaissance and assessment tool for identifying potentially exposed IP cameras by analyzing open ports, service configurations, and common misconfigurations.

Hackcctv

Surveillance Perspective Human Action Recognition Dataset: 7759 Videos from 14 Action Classes, aggregated from multiple sources, all cropped spatio-temporally and filmed from a surveillance-camera like position.

Fight Detection From Surveillance Cameras by fine-tuning a PyTorch Pretrained Model

detect the no of people every second entering building gate. #person-detection

Detects the abnormal behaviors of passengers on a ship so we can prevent accidents from occurring

Object Detection Web App using YOLOv11 and Flask. Supports RTSP Streams and Video Uploads. A study case for a Fall Detection System for the Elderly.

Construction of a lumbar weapon detection system through CCTV cameras with the help of artificial intelligence neural network (YOLO_v5), which has been trained by the private dataset of Pashtaw.

Violence recognition in streaming video using Transfer Learning and MoViNets. The project leverages state-of-the-art deep learning techniques to create an efficient and accurate violence detection system.

python notebook super resolution

A real-time human counter that uses HOG and SVM. Developed as project for the Computer Vision course at Sapienza University of Rome (2021-22)

python notebook ReId project

This is a facerecognition model made using python. It mainly gets a face img as a input and identifies that face in a video.

This project addresses the escalating challenge of gun violence through the development of an advanced gun detection system.

Synthetically Generated Surveillance Perspective Human Action Recognition Dataset: 6901 Videos from 10 action classes, made by a 3D Simulation, all cropped spatio-temporally and filmed from a surveillance-camera like position.

YOLOv8 handles real-time object detection, spotting people, vehicles, and activity around your home. Potential threats are then analyzed and summarized by ChatGPT, turning raw detections into clear security logs. Together, they provide an AI-powered CCTV system that both sees and thinks.

Access Public CCTV Cameras Easily.

A production-grade, deep-learning-based anomaly detection system for CCTV surveillance footage. This project uses a PyTorch-based Convolutional Autoencoder to achieve high precision in identifying unusual events. The system is deployed as a scalable REST API using FastAPI and Docker, enabling real-time video analysis. It also includes an MLOps.