Videonetics Technologies

Videonetics Technologies, a private limited company established in 2008, operates in the video computing and surveillance market. The company was founded by Dr. Tinku Acharya, an technologist and inventor with a Ph.D. in Computer Science from the University of Central Florida. His extensive background includes roles at Intel Corporation, where he was recognized as a prolific inventor, and AT&T Bell Laboratories. Dr. Acharya's expertise in electronic imaging, VLSI architectures, and data compression, evidenced by over 175 granted patents, forms the technical foundation of the company.

Videonetics develops and provides an AI and Deep Learning-based Unified Video Computing Platform. This platform integrates video management software, intelligent video analytics, traffic management, and facial recognition. The company's business model is centered on offering these software solutions to a range of clients, including enterprises, airports, and city surveillance projects. It has secured over 150 cities, 80 airports, and 100 enterprises, connecting more than 300,000 cameras. The business generates revenue through software licensing and has also developed a subscription-based cloud service, Videonetics on Cloud (VoC), which provides video surveillance as a service (VSaaS). For the fiscal year ending March 31, 2024, the company reported revenues of ₹61.1 crore.

The core offering is a modular, open-architecture platform that is hardware-agnostic and ONVIF compliant, allowing for integration with a wide variety of cameras and devices. Its features include facial recognition, automatic number plate recognition (ANPR), crowd monitoring, vehicle tracking, and tamper detection. The system is designed for high scalability and availability, supporting continuous, scheduled, and event-based recording modes. By employing AI and a Convolutional Neural Network (CNN) framework, the platform delivers real-time alerts and actionable intelligence from large volumes of video data. The solutions are tailored for various industries such as transportation, retail, and industrial sectors, addressing needs from security and threat detection to retail analytics like footfall measurement.

Keywords: video management software, VMS, AI video analytics, deep learning, facial recognition, traffic management, intelligent surveillance, ANPR, video surveillance, security technology, unified video platform, cloud surveillance, VSaaS, situational awareness, computer vision, data-driven security, smart city solutions, enterprise security, airport security, retail analytics