Next-Generation Video Analysis Software

Established in April 2021, PIASpace Co., Ltd. has developed MACS (Multi-modal AI for Camera Solution), a real-time video analysis solution, based on Vision Language Model (VLM) technology. This solution is ushering in an era of CCTV that transcends the era of simple surveillance, empowering understanding and judgment.
PIASpace has laid the foundation for commercialization through proof-of-concept (PoC) with domestic institutions and is actively expanding globally by establishing local subsidiaries in Singapore and Thailand.

MACS 2.0 is next-generation video analysis software based on multi-modal AI technology that overcomes the limitations of existing intelligent CCTV.
By combining video and language, it can detect various safety and security situations in real time, such as falls, fires, smoke, intrusions, and violence.
MACS 2.0 goes beyond simple object recognition to understand behavior and context, enabling high-accuracy recognition and alerts for complex situations that can occur in real-world settings.
MACS 2.0 is an innovative solution that enables rapid and flexible responses in various fields, including public safety, industrial sites, and smart cities.

MACS2.0 received Grade 1 GS (Good Software) certification for its real-time anomaly detection solution from the Korea Testing & Research Institute (KTR).
Based on Vision Language Model (VLM) technology, which can simultaneously understand images and text, PIASpace is developing high-precision solutions that detect the abnormal situations, overcoming the limitations of existing object detection methods.

“This receiving of GS certification grade 1 is not just a simple quality certification, but an important milestone that has verified our technological prowess across the public and industrial sectors. We will continue to advance our video AI technology to gain credibility in the B2G (business -to-government) market and leap forward as a global safety technology platform,” the representative director of the company explained.
 
 
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