EG-Keeper's facial recognition technology prevents impersonation during alcohol checks.
1. Prevention of impersonation through facial recognition 2. Simultaneous implementation of temperature measurement and alcohol detection 3. Real-time output of results to label stickers (with photos) 4. Measurement results exceeding the threshold are sent to the specified recipient via alert email 5. Logging of 490,000 measurement results, with the ability to output as a CSV file
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basic information
This is an inspection system that links an alcohol detector (manufactured by Chuo Automobile Industry: SC-502) with 'EG-Keeper', which conducts facial recognition and thermal checks using a high-speed AI chip, allowing for automatic recording of alcohol test and temperature check results. By expanding the functionality to monitor in real-time from a distance and to notify results via email, it achieves a reduction in personnel costs at inspection sites. Additionally, it supports a 'log storage function (Note 1)' that retains the results within the device's database, allowing for the review of past inspection results. (Note 1) It can store approximately 490,000 data entries. The stored data can be downloaded as a CSV file.
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Applications/Examples of results
From general businesses to the transportation industry, we are utilizing vital checks and alcohol checks through temperature measurements before drivers operate vehicles.
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Our company has viewed the goal of manufacturing as "providing hardware that pursues low power consumption and miniaturization at a low price" by utilizing various technologies such as sensing and wireless communication. We have been involved in development, manufacturing, and sales. Looking ahead to a future where AI technology is widely used, we have focused on facial recognition technology and have been advancing the development of products that not only achieve miniaturization, low power consumption, and low cost but also excel in high-speed processing by leveraging our know-how in hardware technology development to perform facial recognition at the edge. In the future, we will also engage in development in new areas, such as the integration of LPWA and AI edge computing camera systems. WDS will continue to provide systems that are needed by everyone as the times change.