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[Case Study] Real Estate / AI Function Person Count and Attribute Analysis

We will introduce a case where the event attendance situation at commercial facilities can be understood in real time.

We will introduce a case study that addresses the challenge of wanting to understand the total number of visitors to a large shopping mall and the attendance situation of events. By using the AI camera from "Actcast," it becomes possible to reduce labor costs compared to manual headcount methods. Additionally, counting errors decrease, and the reliability of the numbers increases. Furthermore, by obtaining attribute data, it becomes possible to gain a more detailed understanding of the visitor demographics, allowing for more effective planning and execution of various measures that can lead to increased sales. [Case Overview] ■ Challenge - Want to understand the number of visitors and the attendance situation of events ■ Results - Real-time understanding of event attendance - Reduction in labor costs - Decrease in counting errors, increasing the reliability of the numbers [Expected Effects] ■ By tracking the number of visitors by hour, the effectiveness of events can be measured ■ Analysis results can also be used as foundational information for tenant pricing during tenant leasing *For more details, please refer to the related links or feel free to contact us.

• Company：Idein 本社
• Price：Other

• DMP
• IoT