AI That Reads Human Movement... Intflow Unveils Indoor Congestion Analysis Technology

Showcasing Movement Tracking-Based Spatial Analysis Solution at International AI Expo
Validated in Collaboration with Samsung Welstory, On Display at COEX from May 6 to 8

Gwangju-based artificial intelligence (AI) startup Intflow is bringing its technology, which analyzes spatial congestion in real time based on human movement data, to the international stage.

Intflow announced that it will participate in the 9th International Artificial Intelligence Expo Korea (AI EXPO KOREA 2026), held at COEX in Seoul from May 6 to 8, where it will showcase its indoor movement tracking-based spatial analysis solution. The exhibition will take place at booth C14 in Hall A of COEX.

The highlight of this exhibition is its indoor space AI analysis solution, validated in collaboration with Samsung Welstory. When an on-site camera detects video, the AI analyzes the footage to render the entire space as a world map, enabling real-time monitoring of congested areas, wait times, and remaining meal servings.

Corporate Cafeteria Usage Status AI Analysis Solution Screen. Provided by Intflow

This technology completed a proof of concept (PoC) last year and has since been implemented at the headquarters cafeteria of Samsung Welstory. Video analysis is processed on-site by an AI edge box, preventing data from being transferred externally. Additionally, individuals in the footage are automatically blurred to ensure identities cannot be recognized.

Jeon Gwangmyeong, CEO of Intflow, stated, "We plan to expand the scope of application to various multi-use facilities, such as museums and local events. Our goal is to enable users to identify congestion in advance so that they can use spaces more conveniently and safely."

Jeon Kwangmyung, CEO of Intflow, is presenting the EdgeFarm solution at the NVIDIA GTC 2026 Inception Pitching Session. Provided by Intflow

At this event, Intflow will also exhibit its contactless livestock management solution, EdgeFarm. EdgeFarm leverages deep learning-based video analysis to monitor the growth and health status of livestock in real time and is currently being used by 126 farms across 11 countries. In March, Intflow was selected as a presenter at NVIDIA GTC 2026 in San Jose, United States, where it introduced this technology.

This content was produced with the assistance of AI translation services.