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  4. Ranked 5th in the latest NIST age estimation evaluation test - CyberLink's AI facial recognition engine "FaceMe"
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  • Sep 24, 2025
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Sep 24, 2025

Ranked 5th in the latest NIST age estimation evaluation test - CyberLink's AI facial recognition engine "FaceMe"

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In the latest "Age Estimation Evaluation Test" conducted by NIST, the AI facial recognition engine "FaceMe" ranked 5th in the world. 【What is the NIST FATE Age Estimation Evaluation Test?】 The NIST FATE Age Estimation Evaluation Test is one of the international benchmarks for facial analysis technology conducted by the National Institute of Standards and Technology (NIST) in the United States, which evaluates the age estimation accuracy of AI algorithms using a large-scale facial image dataset. 【Evaluation Results of FaceMe】 - World Ranking: 5th Among 20 vendors worldwide, FaceMe ranked 5th, demonstrating top-class accuracy in an international competitive environment. - Mean Absolute Error (MAE): 2.87 years FaceMe's average error in estimated age is 2.87 years, with only a 0.35-year difference from the top-ranked algorithm, achieving world-class accuracy. *MAE (Mean Absolute Error): A numerical representation of the error in estimated age (the smaller the number, the higher the accuracy). *NIST conducted the evaluation using 1 million facial images of individuals aged 18 to 30.
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SDK_img.jpg

AI facial recognition engine 'FaceMe SDK' offers world-class authentication accuracy.

This is an AI facial recognition engine that can be equipped with world-class facial recognition capabilities for various software, hardware, and services.

FaceMe SDK is a proven AI facial recognition engine adopted in various products and services. It has received very high evaluations from third-party organizations such as NIST and offers a variety of features, including anti-spoofing capabilities and quality checks. Reasons to choose FaceMe: - High authentication accuracy and fast authentication capabilities - Flexible development across multiple platforms: Windows / Linux / Android / iOS / Jetson - Capable of authentication even when wearing masks, hats, helmets, or goggles - Wide authentication angles, allowing for authentication without directly facing the camera Main use cases of FaceMe: - Non-contact and walk-through facial recognition for attendance management - Identity verification in manufacturing processes at factories - Access control for entry and exit management using facial recognition to enhance office security (door access control) - Single sign-on login solutions using facial recognition integrated with Active Directory - Promotion of retail marketing through age and gender detection on signage and POS systems *For more details, please refer to the PDF materials or feel free to contact us.

  • Attendance management system

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Face Recognition Web API Server FaceMe Platform

It is an AI facial recognition server that can incorporate world-class facial recognition into various software and services using a Web API.

The FaceMe Platform allows the AI facial recognition engine FaceMe to be deployed across various platforms via a Web API. This enables rapid development and evaluation, allowing for efficient development that is not constrained by programming languages. Reasons to choose the FaceMe Platform: - Provides a more flexible and user-friendly development environment through a Web/HTTP UI - High authentication accuracy with fast recognition capabilities - Can authenticate users wearing masks, hats, helmets, or goggles - Wide authentication angles, allowing for recognition even when not directly facing the camera - Easily build large-scale systems with database sharing among multiple endpoints - Equipped with advanced server management features such as load balancing and failover recovery Main use cases for the FaceMe Platform: - Login for web and mobile applications, as well as identity verification for eKYC - Facial recognition server for a large user database exceeding one million users - Marketing platform for counting visitors and obtaining attributes in large commercial facilities *For more details, please refer to the PDF document or feel free to contact us.

  • Attendance management system

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AI Facial Recognition Security System FaceMe Security

FaceMe Security is an AI facial recognition smart security solution developed for security systems.

FaceMe Security is a smart security system that has been successfully implemented in office buildings, commercial facilities, and factories. It utilizes a facial recognition engine that has received very high evaluations from third-party organizations such as NIST, and it is capable of integration with external services and door access control. **Reasons to Choose FaceMe Security** - High authentication accuracy and fast authentication capability - Wide authentication angles even when wearing a mask, allowing for authentication without directly facing the camera - Easy integration with external systems through API connectivity - Real-time monitoring and event notifications - A wealth of add-on features enabling multifaceted security measures **Main Implementation Scenarios for FaceMe Security** - Security management of office buildings through integration with video management systems (VMS) - Blocklist detection in commercial facilities - Attendance and access management through contactless and walkthrough facial recognition - Real-time notifications to responsible personnel upon visitor detection - Visitor management and detection of unregistered individuals in factories and similar environments *For more details, please refer to the PDF document or feel free to contact us.*

  • Security cameras and surveillance systems

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Related catalog(2)

Easily realize the construction of an AI facial recognition system - FaceMe SDK

Easily realize the construction of an AI facial recognition system - FaceMe SDK

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"FaceMe Security," a package-type facial recognition solution that requires no development.

"FaceMe Security," a package-type facial recognition solution that requires no development.

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[Please introduce this to the management and general affairs department] Update on the expense reimbursement system implementation case! Reduced working hours by 7 hours/month! Utilized iBP's setup assistance to achieve systemization even amidst a busy schedule. Promoted paperless operations!

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An article has been published about the case of introducing the expense reimbursement system "Rakuraku Seisan" at Idemitsu Plant Tech Chiba Co., Ltd. ~ In the case of Idemitsu Plant Tech Chiba ~ Before the introduction, there was a challenge to reduce the time spent on circulating and storing paper documents, as well as the approval process (including rejections). The decision to implement "Rakuraku Seisan" was made considering its proven track record in group companies and the cost benefits it offers. With the system in place, manual errors in data entry and accounting software have clearly decreased. The payment process for invoices used to take a total of 7 hours per month, but it can now be completed in just 4 hours. [Case Overview] ■ Challenges before implementation - Reduce the time spent on circulating and storing paper documents, as well as the approval process (including rejections). ■ Key points of implementation - Peace of mind due to proven track record in group companies. *For more details, please refer to the related links or feel free to contact us.

Jul 17, 2026

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International Certification Obtained: Resin Formwork 'Daiko Panel' has acquired an Environmental Product Declaration (EPD) based on international standards.

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~As an environmentally friendly material contributing to the decarbonization of construction sites and Scope 3 reduction~ KAWASAKI Corporation has obtained an Environmental Product Declaration (EPD) for our resin formwork "Daiko Panel," which we manufacture and sell. With this acquisition, the environmental impact (such as CO2 emissions) from raw material procurement to the manufacturing process has been objectively quantified and verified based on international standards (ISO 14025, EN 15804+A2). In the construction industry, visualizing and reducing CO2 emissions (Scope 3) during material procurement has become urgent. The "Daiko Panel" has a lower environmental impact compared to traditional formwork and is a reusable circular material. With this EPD acquisition, you can utilize substantiated numerical data for selecting materials for your environmentally conscious construction projects and for obtaining environmental certifications such as ZEB/ZEH. We will continue to strongly support the labor-saving and decarbonization efforts at construction sites. [Contact Information] KAWASAKI Corporation / General Incorporated Association Daiko no Kai

Jul 17, 2026

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The earthquake measurement app 'iEarthquake', which has surpassed 200,000 downloads, has been completely renewed - Achieving greater usability with a UI overhaul.

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Hakusan Industrial Co., Ltd. (Headquarters: Fuchu City, Tokyo, President: Minoru Yoshida) has announced that its free seismic measurement app "iJishin" has surpassed a total of 200,000 downloads. To commemorate this milestone, the app will undergo a complete renewal and will be available starting July 17, 2026. * "iJishin" is a free seismic measurement app jointly developed by Hakusan Industrial Co., Ltd. and the National Research Institute for Earth Science and Disaster Resilience (NIED).

Jul 17, 2026

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To Avoid Failing in Back Office Operations and System Implementation — 4 Common Pitfalls and Tips for Solutions

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Caught up in daily input, approval, and checks, I want to improve but can't find the time to consider it. In back offices, which tend to fall into such a "negative loop," it's understood that system implementation can be a breakthrough, but the burden of the implementation itself is often significant, leading to new sources of concern. During the consideration phase, it takes time to request materials and compare demos, and even if the differences are clear, there is no certainty about whether it will fit the company. After implementation, issues often arise in operations, such as not being able to connect to support or having multiple inquiry points that cause confusion. Therefore, while organizing common failure cases, we have summarized key points for practical staff to proceed with a selection that is "smooth," "thorough," and "without regret." Common failure case 1: The purpose is vague, and "systematization" becomes the goal. Common failure case 2: It does not match the company's operations. Common failure case 3: Realizing it is "difficult" after starting to use it. Common failure case 4: Total costs balloon. You can read more without needing to input personal information. Please visit the iBusiness Partners column page! https://ibp-column.sfsite.me/33868

Jul 16, 2026

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Hotron's vehicle detection sensors contribute to efficient parking management, from coin parking to large-scale parking lots.

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Hotron's vehicle detection sensors allow you to search for products that meet your needs from three categories: "Purpose of Use," "Location of Use," and "Product List." The sensors detect the passage of vehicles and notify you with a rotating light, or switch the display of parking availability. They manage vehicle presence, full parking, and exit warnings in parking lots, contributing to safe driving and smooth operational management within the parking area. They are used in various settings, from coin-operated parking to large-scale parking lots.

Jul 16, 2026

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