Alpus institute8/3/2023 ![]() Providing system integration and an AI platformģ. Consultation of strategy, finance, supply chain and technologyĢ. Food & retail business (service area business)Ģ-11-5 Shibaura, Minato-ku, Tokyo, Igarashi BuildingĤ-20-3 Ebisu, Shibuya-ku, Tokyo, Yebisu Garden Place tower 18Fġ. ![]() Operation of buses equipped with facial recognition payment technologyĭevelopment of facial recognition payment technology platformĭevelopment of facial recognition technologyĢ-1-1 Igawa Castle, Matsumoto City, Nagano Prefectureĥ. Project oversight and business feasibility study Note: For information about the target routes, please visit the Alpico Transportation website at. Note: Face recognition payment cannot be used outside the target sections. Since 1996, APLUS Institute has been providing advanced, high-standard technology-based career education specializing in the areas of Information Technology. Note: The duration and target routes may change depending on the progress of the trial. Target RouteĢ.Nagano Area ⇔ Matsumoto Interchange Front, Matsumoto Bus Terminal,Matsumoto Joint Gov. For more details on the pilot test, please visit our website at. This allows fare settlement even if both hands of users are occupied, or if they have forgotten a smartphone or do not have any cash on their person. When boarding the bus, users only need to briefly look at the tablet device installed in the vehicle for facial recognition, eliminating the need to take out a smartphone or cash. Users will be required to download, install, register, and charge the app-based prepaid card in advance. Based on the results of this pilot test, Marubeni aims to commercialize facial recognition payment at an early stage not only for public transportation but also in other sectors where there is a high demand for hands-free services. Marubeni will then confirm the successful integration and operation of the payment process. In this pilot test, the faces of users who have pre-registered their facial data will be identified in the fixed-fare section of the route, and the payment will be automatically deducted from the individual's app-based prepaid card. Marubeni has previously conducted pilot tests using facial recognition technology for stadium entrance and university attendance and confirmed its high accuracy. ![]() More details of the part played by the companies in the pilot can be found in the Company Roles table below. HVAC Training Course in Trichy,India APLUS NDT SERVICES HVAC is give best training of expertised and experienced faculties NDT training institute. (hereinafter, “R.D.Works”) and Aplus Co., Ltd. ![]() (hereinafter, “M-Nets”), R.D.Works Co., Ltd. The company’s efforts to develop a facial recognition payment platform which connects facial recognition technology and payment functions are intended to help address various social issues and contribute to the enhancement of user convenience.įor this pilot test, the facial recognition payment platform was developed by Marubeni Network Solutions Co., Ltd. Marubeni has focused on facial recognition technology, which has recently seen significant improvements in accuracy, as part of its response to the trend in recent years of transition to a contactless and cashless society. The project is expected to serve 2,320 Texas principals and school leaders.Facial recognition demonstration on a tablet device Preparing 120 practicing principals and school leaders for building instructional capacity at the campus level in the education of ELs and low-income students through a randomized controlled trial (RCT) with a School Enhancement/Turnaround Intensive Leadership Professional Development Intervention over three years.Preparing 200 practicing principals and school leaders (campus leadership teams) for building instructional capacity at the campus level in the education of ELs and low-income students through a Summer Leadership Institute over two summers and.Training 100 practicing principals in building instructional capacity at the campus level in the education of ELs and low-income students. ![]() We are happy you have visited our website.
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