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

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

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last updated:Feb 01, 2023

Idein 本社
Idein 本社
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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.

    DMPIoT
2022-10-21_17h31_06.png

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

2022-10-21_17h31_06.png
2022-10-21_17h31_06.png
  • Related Link - https://www.idein.jp/ja/actcast

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"Actcast," the Edge AI platform, has been ranked No. 1 in domestic market share for two consecutive years. - It dramatically reduces device costs by enabling advanced AI analysis on small, inexpensive devices the size of a credit card (allowing AI analysis typically performed on devices costing hundreds of thousands of yen to be done on devices costing just a few thousand yen). - Our proprietary acceleration technology allows for cutting-edge AI analysis without the need to lighten AI models. - By using sensing devices equipped with cameras, microphones, thermometers, etc., it can collect and utilize diverse real-world information. - It enables remote management and operation of multiple devices. - Edge AI only sends the minimum necessary information to the cloud, allowing for use while considering privacy and confidential information. About "No. 1 in domestic market share": Based on the survey results from Deloitte Tohmatsu Research Institute's "Actual Conditions and Future Outlook of the Edge AI Computing Market 2022 Edition" (https://mic-r.co.jp/mr/02530/) regarding "Vendor Share (Number of Units) of Edge AI Platforms." *For more details, please refer to the related links or feel free to contact us.

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【Other Use Cases】 ■ Food and beverage, retail, real estate, transportation, etc. *For more details, please refer to the related links or feel free to contact us.

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Idein

Idein 本社

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We are a startup with unparalleled technological capabilities that has achieved the acceleration of deep learning inference on inexpensive general-purpose devices. We have developed the edge AI data collection platform "Actcast" using this technology, providing services to developers and businesses that develop, implement, and utilize practical AI/IoT systems. Moving forward, we will continue to contribute to the proliferation of AI/IoT systems in collaboration with our partner companies. Our mission is "to enable all information in the real world to be handled by software," and we have been selected as a J-Startup by the Ministry of Economy, Trade and Industry in Japan, as well as being recognized as a NEXT unicorn company by the Nikkei. We are also highly regarded internationally, becoming an AI Partner of Arm and an Inception Program Partner of NVIDIA.

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