
Vision Semantics
Designed to protect individual data privacy.
Date | Investors | Amount | Round |
---|---|---|---|
investor | €0.0 | round | |
* | $2.0m Valuation: $2.0m | Acquisition | |
Total Funding | 000k |
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Vision Semantics Limited was a technology company specializing in artificial intelligence and deep learning for computer vision and real-time video analytics. Founded in 2014 by Professor Shaogang (Sean) Gong, the company was a spin-out from the Computer Vision Group at Queen Mary University of London. The company's core technology focused on person re-identification (Re-ID) using patented Deep Learning and Reinforcement Active Learning algorithms. This technology was designed to locate an individual across different locations and times from various camera feeds without relying on facial recognition or other personally identifiable biometric data, addressing privacy concerns.
The firm developed software for video and image analysis aimed at automating the processing of closed-circuit television footage for enterprises. One of its key products was 'Tracker,' an object video recognition tool built on its proprietary technology. On January 3, 2014, Vision Semantics secured a $560K grant from the European Union. In November 2022, the company was acquired by Veritone, a provider of AI technology and solutions. The acquisition aimed to integrate Vision Semantics' privacy-focused tracking technology into Veritone's portfolio.
Keywords: video analytics, computer vision, artificial intelligence, deep learning, person re-identification, object tracking, video surveillance, CCTV analysis, machine learning, RE-ID technology, privacy-conscious AI, image analysis, Veritone acquisition, Shaogang Gong