Identify individuals through walkthroughs! Integration with surveillance camera systems is also possible.
"FaceDRAV" is a high-precision facial recognition system that rapidly analyzes the faces of individuals captured by surveillance camera footage, allowing for the identification of individuals without the need to stop at store entrances and other locations. It can authenticate multiple passing individuals simultaneously. In real-time processing, it can authenticate up to five individuals at the same time within the footage from a single camera. Additionally, it can be integrated with surveillance camera systems. It is possible to configure the system using existing surveillance cameras and recorders installed at the facility. 【Features】 ■ Detection of specific individuals and unregistered persons ■ Compatible with cameras, video files, and recorders ■ Similar person search ■ Compatibility with existing systems ■ Face detection and storage ■ Cross-platform compatibility You can download the demo software from the following URL: https://www.gitoh.jp/facedrav-dl-form/ *For more details, please download the PDF or feel free to contact us.
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【Operating Conditions】 ■OS: Windows 710 (x64) Ubuntu 16 (x64) ■CPU: Intel Core i5 or higher ■Memory: Recommended 16GB or more *For more details, please download the PDF or feel free to contact us.
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You can download the demo software from the URL below. https://www.gitoh.jp/facedrav-dl-form/ *For more details, please download the PDF or feel free to contact us.*
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Our company has the management philosophy of "contributing to the creation of new trends in society by finding creativity from the unknown." This is based on the belief that quickly discovering technologies and ideas that are not yet recognized can lead to the emergence of trends that people have never even considered, thus aiding in social development. We have long explored this creativity in the field of image processing. We believe that there is still great potential in this field that remains unknown. We continue our corporate activities with the conviction that if we can uncover and showcase this technology, society will develop significantly.
![[FaceMe Case Study] Access Management for a Factory with 100,000 Employees Using Facial Recognition](https://image.mono.ipros.com/public/product/image/19f/2000814999/IPROS30270572210209709954.png?w=280&h=280)
