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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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Platform_img.jpg

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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Security_img.jpg

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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Non-contact light beam touch sensor 'HA-T401'

Recommended for infection control! Introduction of non-contact sensors for facilities.

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In recent times, there has been a growing interest in infection control measures and facility hygiene management. Our company offers non-contact sensor products that are recommended for commercial facilities, food factories, and nursing and caregiving facilities. 【Sensors for Automatic Doors】 ● Light Touch Sensor HA-T401 … When you wave your hand in front of the automatic door, the sensor detects the movement and opens or closes the door. This is recommended for making doors with touch switches non-contact. ● Hand Wave Sensor PF-R5, PF-U2, DHS-1 … Opens and closes the automatic door by waving your hand in front of the sensor. ● Foot Switch PF-01S/01D/03S/05 … Opens and closes the automatic door by placing your foot in the opening. 【Access Control System】 ● Face Recognition + Unmanned Temperature Measurement DS Series … Allows for face recognition along with mask detection and body temperature measurement simultaneously. ● Automatic Disinfectant Spray Dispenser PHW-03B … Automatically sprays disinfectant when you wave your hand in front of the sensor. 【Nursing and Care Sensors】 ● Infrared Bed Exit Sensor "Just Place It Pole-kun" … This bed exit sensor is installed next to the bed and notifies via nurse call when the subject enters the detection range. ◎ For more details, please download the catalog or contact us.

Nov 07, 2025

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[Free Materials Available] Introducing Useful Information on Vehicle Detection Sensors!

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To customers considering the introduction of vehicle detection sensors for parking lot construction, design, or management: Are you facing any challenges with current issues or selecting the right sensors for parking management? Hotron offers free materials that explain how to utilize vehicle detection sensors and the benefits of their introduction! ▽ Here is the lineup of materials ◉ Vehicle Detection Sensor Basic Guide This guide focuses on the challenges and solutions in parking lot operations, introducing the overview of vehicle detection sensors. ◉ Key Points for Introducing Vehicle Detection Sensors This material discusses the benefits of introduction based on installation locations and specific challenges. ◉ Case Studies of Vehicle Detection Sensor Implementation This document presents the challenges before implementation and the results after introduction. For more details, please download from our website and check it out. https://www.hotron.co.jp/download/

Nov 07, 2025

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Exhibiting at "Techno-Ocean 2025" (November 27-29)

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We will be exhibiting at the only comprehensive and cross-sectional international convention in the marine field in Japan, "Techno-Ocean 2025." In this exhibition, we will introduce a wide range of specialized survey services related to offshore wind power generation projects, including wind and sea condition surveys, O&M, sediment surveys, and fishing ground environmental monitoring. We will also showcase marine surveys and seagrass bed investigations using marine robots such as autonomous surface vehicles (ASVs) and underwater drones, as well as the collection of dead fish in aquaculture operations.

Nov 07, 2025

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"From Quantity to Quality" - The government's policy shifts to prioritize "energy security." Perovskite opens a new trend in domestic renewable energy.

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The energy policy promoted by the government has finally made a significant shift from "quantity to quality." The previous large-scale introduction of renewable energy policies relied on inexpensive foreign-made panels, leading to the chaotic installation of mega-solar farms across Japan's land, which created environmental, landscape, and waste issues. As a result, Japan's energy self-sufficiency rate remains at a mere 13%, and even with the advancement of renewable energy, "import dependence" has not been resolved. In light of this reflection, the focus moving forward will be on "developing domestic energy technologies" and promoting "self-consumption type renewable energy." Among these, perovskite solar cells are lightweight, highly efficient, and offer great flexibility in installation, making them a trump card for "decentralized renewable energy" that can be easily retrofitted onto building walls and roofs. Kenneth Energy Development Co., Ltd. is developing a "selective self-consumption solar power generation system" that utilizes domestic panels and perovskite technology. Based on a track record of 83 projects nationwide and a total construction cost of 908.4 billion yen, it supports the industry's "energy independence." Now, renewable energy is entering an era of "security infrastructure."

Nov 07, 2025

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Renewable energy stocks surge in the 'High City Trade'! The next-generation 'perovskite solar cells' open a new era of domestic power generation.

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"Perovskite solar cells" are once again emerging at the center of Japan's renewable energy policy. Mr. Takai has proposed "nurturing domestic technology for renewable energy" as part of energy and industrial policy, causing related stocks to attract attention in the market as the "Takai trade." The background to this is Japan's long-standing dependence on foreign-made panels in its renewable energy structure. While inexpensive imports have supported proliferation, they have also left a "negative legacy" of forest development, disposal risks, and price fluctuations. If this continues, both the land and energy supply will be controlled by foreign entities—this sense of crisis is the trigger for policy change. Perovskite solar cells possess the trifecta of being lightweight, highly efficient, and low-cost, making installation in existing buildings easy. Development is progressing as a domestic technology, and it is expected to become a mainstay for self-consumption power generation in the future. Kenneth Energy Development Co., Ltd. is developing a "next-generation self-consumption solar power system" with an eye on these perovskite cells. With over 8,000 installations nationwide and expertise in subsidy support, they are turning companies' "energy independence" into reality.

Nov 07, 2025

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