Enhancing Station Platform Safety via AI Image Analysis and Surveillance Cameras: Verifying Potential for Accident Prevention
Secure Inc. conducted a field trial of its 'SECURE AI BOX' surveillance camera system, which utilizes AI image analysis, to improve station platform safety. The results confirmed that the system can effectively detect events such as falls and unauthorized track access during both day and night.
📋 Article Processing Timeline
- 📰 Published: May 26, 2026 at 20:00
- 🔍 Collected: May 26, 2026 at 11:31
- 🤖 AI Analyzed: May 26, 2026 at 11:56 (24 min after Collected)
Secure Inc. (Headquarters: Shinjuku-ku, Tokyo; President and CEO: Tatsunari Taniguchi; Stock Code: 4264), a provider of business solutions for corporate challenges through 'AI (Image Analysis) × Security,' conducted a field trial using its 'SECURE AI BOX' surveillance camera system to enhance station platform safety.
In this trial, the company verified the potential for behavior detection by AI cameras, assuming scenarios that could occur to passengers on station platforms.
As a result, the trial confirmed that specific behaviors could be detected under certain conditions, and provided valuable insights regarding operation and design for potential future implementation.
■ Outline of the Field Trial
・Location: JR East's Shin-Narashino Training Center (a facility simulating a station platform environment)
・System Used: Surveillance camera solution 'SECURE AI BOX'
・Objective: Enhancing safety on station platforms
・Trial Details:
Verified the detection capabilities of AI cameras for incidents such as falls on station platforms.
Conducted the experiment in both daytime and after-sunset conditions to verify variations in detection accuracy based on the time of day.
■ Trial Results
The experiment confirmed that AI camera detection functions effectively in both daytime and post-sunset environments. Additionally, the trial provided insights into how camera installation environments and target conditions affect detection accuracy.
The data accumulated is valuable for future practical implementation.
Secure Inc. will continue to promote the implementation of AI in all aspects of daily life, contributing to improved safety in social infrastructure, including railways.
In this trial, the company verified the potential for behavior detection by AI cameras, assuming scenarios that could occur to passengers on station platforms.
As a result, the trial confirmed that specific behaviors could be detected under certain conditions, and provided valuable insights regarding operation and design for potential future implementation.
■ Outline of the Field Trial
・Location: JR East's Shin-Narashino Training Center (a facility simulating a station platform environment)
・System Used: Surveillance camera solution 'SECURE AI BOX'
・Objective: Enhancing safety on station platforms
・Trial Details:
Verified the detection capabilities of AI cameras for incidents such as falls on station platforms.
Conducted the experiment in both daytime and after-sunset conditions to verify variations in detection accuracy based on the time of day.
■ Trial Results
The experiment confirmed that AI camera detection functions effectively in both daytime and post-sunset environments. Additionally, the trial provided insights into how camera installation environments and target conditions affect detection accuracy.
The data accumulated is valuable for future practical implementation.
Secure Inc. will continue to promote the implementation of AI in all aspects of daily life, contributing to improved safety in social infrastructure, including railways.
FAQ
株式会社セキュアが今回実施した実証実験の目的は何ですか?
駅ホームの安全性向上を目的として、AI画像解析技術を活用した監視カメラシステムによる事故防止の可能性を検証することです。
実証実験にはどのシステムが使用されましたか?
同社の監視カメラシステムソリューション「SECURE AI BOX」が使用されました。
実験はどこで行われましたか?
東日本旅客鉄道株式会社の新習志野技能教習所で行われました。
AIカメラによる検知精度は時間帯によって影響を受けましたか?
日中および日没後のいずれの環境においても有効に機能することが確認されました。
株式会社セキュアの主な事業内容は?
入退室管理システムや監視カメラシステムに、AI技術を組み合わせたセキュリティソリューションを提供しています。