India’s AI ecosystem is moving beyond chatbots and large language models, with companies increasingly using computer vision to solve practical problems across restaurants, banks, airports, warehouses and retail stores. These systems are being trained on local data to understand physical environments and improve real-world operations.
CMS Info Systems’ Hawkeye platform, for example, uses computer vision across around 50,000 sites, including ATMs, bank branches and commercial locations. Its 45-member team works with existing models such as YOLO and trains them on Indian data. One challenge involved improving gun detection because foreign training data did not accurately represent guns used in India.
The same approach is being used in restaurants and retail. At one pizza chain, AI was trained to identify what a clean table looks like and distinguish harmless items from abandoned food boxes. Initial accuracy can be around 60% to 70%, with the goal of reaching 90% to 95%. Each false alert becomes additional training data.
Awiros is applying computer vision to airport operations. At Delhi airport, its system combines flight and passenger data with CCTV feeds to estimate baggage trolley availability. It can identify unused trolleys elsewhere and alert staff when they are needed. The technology has also been deployed at Visakhapatnam airport.
Meanwhile, Blue is building a “semantic video data lake” to make large volumes of video searchable. Its compression technology can make footage around 10 times smaller, while AI can analyse warehouses for vehicles, people, boxes and loading activity. The company has 13 enterprise customers.
Staqu is also turning existing cameras into intelligent systems through its Jarvis platform. Its technology supports natural-language searches, including Indian languages, and is already live in 1,200 stores.
The broader shift is toward smaller, specialised AI models that process only relevant information instead of sending every camera frame to expensive large models. This could become a major part of India’s AI opportunity, using data generated by businesses, factories, airports, banks and millions of cameras.
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