Yotta launches AI-based video surveillance platform for enterprises

Data center company Yotta Data Services launched an Artificial Intelligence (AI)-powered video surveillance platform Drishticam. The cloud-based platform is built in partnership with AI and video management firm Videonetics by utilising the latter’s VSaaS (Video Surveillance as a Service) software platform.

The company said in a statement that Drishticam offers secure, scalable surveillance solutions tailored to meet enterprise needs while optimising total cost of ownership (TCO). By utilising advanced CCTV cameras, Drishticam monitors environments continuously, identifying unusual behaviour, unattended objects, and unauthorised access, allowing for immediate intervention. The platform processes vast amounts of video data thereby reducing false alarms and enhancing risk differentiation. It also has additional features such as facial recognition and biometric access control.

The service can be deployed within an enterprise’s existing surveillance environment and can work with any type of camera – analog or digital. This makes it suitable for different kinds of environments from small commercial establishments like department stores and clinics or high footfall areas such as malls and residential complexes or large enterprise or industrial properties such as IT parks or factories.

“Drishticam offers a flexible, AI-driven platform that grows with businesses, making it easy to scale and customise as their needs expand. As AI advances, its integration into surveillance systems will grow even more sophisticated, incorporating predictive analytics to pre-emptively address threats and ensure that spaces remain both secure and respectful of personal privacy,” said Darshan Hiranandani, Co-Founder and Chairman, Yotta.

Drishticam runs on Yotta Cloud and is available through a flexible, subscription-based model. In the event of network disruptions, Drishticam supports Automatic Network Replenishment (ANR), retrieving recorded data once connectivity is restored, ensuring continuous video capture.