Semifive Accelerates Mass Production of AI ASIC Semiconductor 'Wisenet 9' for Hanwha Vision Security Cameras

Semifive, a global AI custom semiconductor (ASIC) specialist, announced on January 14 that it has entered the mass production expansion phase for the AI ASIC semiconductor "Wisenet 9," developed in collaboration with Hanwha Vision for security cameras.

The AI security camera market is shifting from traditional CCTV focused on video recording to intelligent systems based on real-time analysis and on-site response. As a result, the semiconductors embedded in these products must simultaneously meet requirements for low power consumption, real-time processing, and cost efficiency. The importance of design and supply service capabilities that can translate these demands into actual mass-produced products is growing.

This mass production expansion demonstrates that a custom AI semiconductor optimized for video security environments has been successfully applied to commercial products and has stably entered the commercialization stage. Hanwha Vision, which is strengthening its AI-based video security strategy, is pushing for a transition to intelligent video security solutions, while Semifive continues to collaborate as a core partner in semiconductor design.

A representative from Hanwha Vision stated, "There is growing demand for dedicated semiconductors that can efficiently distribute and process high-definition video processing and AI inference," adding, "As AI-based video security demand continues to rise, we expect this mass production to further strengthen Hanwha Vision's competitiveness in intelligent security solutions and its ability to respond to the market."

A representative from Semifive commented, "It is significant that we have co-developed an AI semiconductor for a key product of a client with technological leadership in the rapidly growing video security market, and that this has led to actual mass production. As the range of product applications and supply volume are gradually expanding, we plan to continue supporting our clients in enhancing their product competitiveness in various vision AI fields based on this mass production experience."