Swiggy has entered into a collaboration with the Indian Institute of Technology, Jodhpur (IITJ), where Swiggy’s applied research team will develop a state-of-the-art face recognition system based on computer vision and artificial intelligence, along with researchers at the institute.
The newly developed face recognition system will strengthen the AI capability of the Swiggy platform and enable enhanced security and compliance on the platform, thus providing a great experience for customers and restaurant partners.
Swiggy recognized the need for an AI-driven capability that can automatically detect and extract faces from different types of images and selfies. The extracted faces are used for identity verification of an individual by matching them with selfies taken through the app. In addition, this technology will enable Swiggy to benefit in multiple applications such as fraud detection, impersonation, shift attendance, etc.
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Commenting on the partnership, Hemant Mishra, VP – Applied Research, Swiggy said, “We are developing a solution that will streamline comprehensive background checks for delivery partners and help control and reduce fraud as well as impersonation. will help us to do so.”
Pro. Mayank Vats, PI, IIT Jodhpur said, “The research team at IIT Jodhpur has been working on designing face recognition solutions for constrained and unrestricted environments for over a decade. This is an opportunity to advance research to address the real-world applications of matching document IDs with selfies.”
In future, Swiggy plans to extend this innovative technology for customer age verification for purchase of liquor in the states where it operates.
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