Scam.ai launches Halo on-device deepfake detection model for live video calls with Qualcomm partnership
Scam.ai announced a partnership with Qualcomm and launched Halo, an on-device deepfake detection model for live video calls. The announcements were made at Computex 2026 in Taipei, where Scam.ai was featured at Qualcomm's booth.
Scam.ai Launches Halo On-Device Deepfake Detection for Video Calls
Scam.ai announced June 29, 2026 a partnership with Qualcomm and the launch of Halo, an on-device deepfake detection model for live video calls on desktop systems.
Partnership Details
The partnership with Qualcomm brings on-device processing capabilities to Halo's deepfake detection system. Both announcements were made at Computex 2026 in Taipei, where Scam.ai was featured at Qualcomm's booth.
Technical Implementation
Halo runs directly on desktop hardware rather than requiring cloud processing, according to Scam.ai. The on-device approach aims to provide real-time detection during live video calls without transmitting video data to external servers.
Specific technical details about Halo's architecture, accuracy metrics, supported hardware configurations, and processing requirements were not disclosed in the announcement.
Target Use Case
The model targets live video call scenarios where deepfake impersonation poses security risks. Desktop systems represent the initial deployment platform, though expansion to other devices was not specified.
What This Means
On-device deepfake detection addresses a growing concern as synthetic media quality improves and real-time deepfake generation becomes more accessible. Running detection locally rather than in the cloud could reduce latency and privacy concerns, though the effectiveness depends on Halo's actual detection accuracy and false positive rates, which remain undisclosed. The Qualcomm partnership suggests hardware optimization for specific chip architectures, potentially limiting broader deployment across diverse desktop systems.
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