Video Call Deepfake Real-Time Detection System EmotionDetect Launches: Identifying AI Face Swaps in 0.3 Seconds
Singaporean AI company VidShield's EmotionDetect system can detect deepfakes in real time during video calls with just 0.3 seconds latency and 99.2% accuracy. It has signed integration agreements with Zoom and Teams.
Video Call Deepfake Real-Time Detection System EmotionDetect Launches: Identifying AI Face Swaps in 0.3 Seconds
Singaporean AI company VidShield released EmotionDetect on January 8, a system capable of detecting deepfakes in real time during video calls. The system operates with an ultra-low latency of 0.3 seconds and a detection accuracy of 99.2%.
EmotionDetect determines whether a video stream is a real-time deepfake by analyzing the temporal consistency of facial micro-expressions and the physical characteristics of skin texture. The system has signed integration agreements with Zoom and Microsoft Teams and is expected to be available to enterprise users as a plugin in the second quarter of 2031.
VidShield CEO Chen Wei Lin said: "With the democratization of deepfake technology, identity fraud in video calls has become a major security threat for enterprises. EmotionDetect is the first line of defense."
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