AI Technology Helps Prevent Suicide Attempts in Japanese Public Spaces
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- Japan has introduced an AI-based surveillance system in public spaces to detect suicide risks, with early reports confirming that the technology has already helped save lives.
- Developed by Asilla Inc., the system analyzes behavioral patterns from CCTV footage and alerts authorities when it detects signs of high-risk activity.
- The technology is now being used in dozens of commercial facilities and train stations, and it can also identify other emergencies such as medical incidents, prolonged immobility, and violent behavior.
Jakarta — Around 40 train stations and commercial buildings across Japan have adopted an artificial intelligence system designed to prevent suicide attempts. The system has reportedly helped save at least two people.
The technology was developed by Tokyo-based firm Asilla Inc., which uses behavioral analysis from surveillance camera footage to assess whether a person may be at risk of attempting suicide, particularly by jumping.
The system monitors patterns of high-risk behavior, including pacing repeatedly or lingering near the edges of train platforms or rooftops of buildings.
When such behavior is detected, the system sends alerts to security personnel and station staff. In some cases, warnings are also delivered through public address systems.
In one reported case, the system flagged a man entering a restricted area within a commercial facility.
Security personnel approached the individual, who later admitted he had intended to take his own life by jumping, according to the company.
In another incident, a child was observed spending an extended period near a safety barrier on an upper floor of a building.
Security staff later found that the child had been writing a suicide note.
Since 2022, Asilla has collaborated with around 200 commercial facilities and organizations to train the AI system using approximately 7 million surveillance video recordings.
Through this process, the system has evolved beyond suicide detection. It can now also identify other emergencies, such as individuals collapsing, remaining motionless for extended periods, or engaging in violent behavior.
According to the company, the technology is currently in use at around 30 commercial facilities and 10 train stations across Tokyo and Kanagawa Prefecture.
Indonesianpost.com | Antara
