We will thoroughly explain everything from the basics to selection points and case studies!
This document explains the basics of AI facial recognition and person detection, selection points, and case studies. It introduces the "benefits of implementing facial recognition and person detection" and "points to consider when selecting a facial recognition and person detection system." It also includes various use cases, making it an easy-to-reference book. We encourage you to read it. 【Contents (partial)】 ■ Rapidly spreading "facial recognition and person detection" ■ "Edge-based" and "cloud-based" methods ■ Benefits of implementing facial recognition and person detection ■ Points to consider when selecting a facial recognition and person detection system ■ Use cases for "facial recognition and person detection" *For more details, please download the PDF or feel free to contact us.
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【Other Publication Contents (Partial)】 ■ Face recognition and person detection system "Gravio" that can be implemented on a small scale and at low cost ■ Gravio implementation case studies ■ About the no-code AI/IoT platform "Gravio" ■ Do you have any of these challenges regarding the implementation of AI cameras for face recognition and person detection? ■ AI available with Gravio ■ Typical usage scenarios *For more details, please download the PDF or feel free to contact us.
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Our company handles the no-code AI platform "Gravio." This service automates business operations through facial recognition and person detection using AI cameras. We provide a total solution that includes data collection devices, cloud data storage and management, and visualization, achieving high scalability and simple deployment in realizing on-site digital transformation, where effective utilization of various data is crucial.