JR Sapporo Station Complex Achieves Safety and Efficiency with AI Security: Sapporo Stellarplace Case Study

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Case Studies

Sapporo Station General Development Co., Ltd. operates Sapporo Stellarplace and Apia, massive terminal facilities connected to JR Sapporo Station. As part of their DX initiatives for the upcoming large-scale station redevelopment, they deployed AI Security asilla.

We spoke with Mr. Takahari, who oversees the asilla deployment, about the background, implementation, and results.

Key Results

Implementation results

Addressing Growing Staff Shortages

Mr. Takahari: Our primary concern is the shortage of security personnel. Relying solely on human patrols and monitoring has clear limitations, especially considering the upcoming redevelopment. We needed to standardize and enhance safety management using AI rather than depending on individual experience and intuition. Additionally, increasing camera numbers alone cannot improve monitoring capabilities beyond human limits.

Several years ago, we completed a transition from analog to IP cameras—not just a hardware upgrade, but a forward-looking infrastructure investment for future AI and data-driven DX across the facility.

AI detected anomalies and incidents at the moment of occurrence, dramatically improving response speed. AI monitoring replaced some patrol duties, enabling redeployment of limited personnel to more critical tasks.

Low Cost, High Functionality

Mr. Takahari: One key factor was the relatively low cost combined with people flow analysis capabilities. Another was the direct impact on both equipment cost reduction and operational workload. For example, we previously considered installing physical intrusion sensors at each tenant, but asilla's intrusion detection now serves that purpose, eliminating the sensor installation costs entirely.

Data-Driven Facility Management

Mr. Takahari: We operate people counting across more than 150 cameras at Sapporo Stellarplace and Apia. This foot traffic data feeds into our own BI (Business Intelligence) tools, accessible to stakeholders anytime for analysis.

Given our station-connected property undergoes frequent construction, constantly monitoring foot traffic enables data-driven route planning for pedestrian guidance during construction phases. The data also supports safety measures and promotional strategies during peak periods like sales and holidays.

Future Outlook

Mr. Takahari: This year we expanded to Apia, enhancing facility safety. We are now planning deployment in redevelopment facilities, including camera placement optimized for AI security. Asilla's development speed is impressive—they genuinely think alongside us about our facilities. Our security staff now proactively think about how to use the system. We look forward to deepening this collaboration for even more advanced safety management.

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