BentoCam!

BentoCam: Open-Source Camera Monitoring and Analytics

BentoCam is an open-source web application for monitoring cameras and analyzing footage. It provides computer vision functionality like object detection, classification, and analytics out-of-the-box. Useful for security, retail, manufacturing, etc.

What is BentoCam!?

BentoCam is an open-source web application designed for monitoring cameras and analyzing video footage. It provides out-of-the-box computer vision functionality like object detection, image classification, and video analytics without the need for machine learning expertise.

Some of the key features of BentoCam include:

• Easy setup and configuration - It can connect to IP cameras and RTSP streams, and runs on Linux and Docker
• Real-time analysis - Objects, people, vehicles etc. can be detected and classified as footage is streamed
• Image labelling - Interface for labelling and tagging objects in images to train custom image classifiers
• Dashboards and alerts - Live dashboards show analytics from cameras, alerts can be set up for critical events
• Access control - User roles and permissions can be configured for accessing camera feeds and analytics

With its prebuilt integrations with popular CV models like YOLO, VGGNet, and MobileNet, BentoCam can serve a wide range of use-cases like security surveillance, retail analytics, manufacturing monitoring, etc without needing machine learning expertise. Being open-source and extensible, integrations with hardware like GPUs and edge devices is also simpler.

BentoCam! Features

Official Links