Face recognition is a hot application in terminal intelligence. Face recognition is not just a hot technology, it will also change the way people live. From the iPhone X, the Face ID is used as the mobile phone to unlock. Recently, Intel (Intel) also cooperated with Hon Hai and Asia Pacific Telecom to publish a face recognition application that combines 5G technology solutions. The Taiwan startup team also uses the face recognition application to CES. The 2018 show was full of light. Recently, Intel and Hon Hai and Asia-Pacific Telecom joined forces to launch the face recognition application service for the first time, including the integration of face recognition and access control systems, which can simplify the process of renewal and registration, and reduce the cumbersomeness of identity authentication. Visitor registration can be done through a web system or app.
In terms of B2C, in the application of smart retail, the payment system can be further integrated. With just 0.03 seconds of "brushing face", the deduction can be quickly completed, which not only saves the trouble of taking out the payment tool, but also eliminates the trouble of removing the payment tool. The risk of card number, personal capital leakage and stolen brushing, and even "eat by face" into the unmanned stores to shop. If the face recognition system is applied to a department store, the operator can obtain the historical consumption behavior data of the consumer and quickly provide it to the floor store, and the store can provide the appropriate product to the consumer through the electronic billboard according to the preference of the consumer. For example, clothing stores can download virtual clothing through virtual mirrors to provide customers with try-on. At the same time, each store can also record consumer characteristics through face recognition, according to age, gender and identity (VIP), etc. in electronic signage. Play appropriate product ads to drive sales opportunities.
The application of face recognition has unlimited imagination, and because of the huge business opportunities brought by face recognition, how to improve the service quality of face recognition will be the key to the competition of the practitioners. The MulTI-access Edge CompuTI (MEC) 5G technology solution developed by Intel accelerates the response efficiency of various applications on face recognition. By transmitting the captured image to the face recognition engine on the local MEC platform, the low-latency, high-rate calculation and judgment can be used to display the operation result in real time to achieve a high-quality customer experience.
Due to the huge amount of data in various IoT applications in the future, the terminal and cloud services will face unprecedented big data transmission. If the specific application can be processed in the network terminal, the delay will be effectively reduced. Therefore, the concept of edge computing is becoming more and more in recent years. Received attention.
MEC technology can provide IT and cloud computing capabilities in a wireless access network (WAN), so you can take the opportunity to shorten the response time required by the terminal. Through MEC combined with 5G technology, the operator can pull the face recognition application to The terminal performs fast calculations to improve identification efficiency. The "terminal intelligence" brought by terminal computing is regarded as one of the development applications that can be combined with IoT for commercialization and rapid growth in a short period of time. Therefore, more and more artificial intelligence applications are beginning to develop into terminal computing. Taiwan’s new team “Deep Force†is a dark horse that has recently emerged in the field of terminal intelligence.
Deep Force is committed to developing a terminal deep learning platform, designing algorithms suitable for operation on the terminal device and developing software solutions to make artificial intelligence no longer limited to cloud applications, but to give distributed terminal intelligence the ability to make specific application judgments. At the same time, it has the advantages of real-time, privacy, bandwidth saving and data storage space. And Deep Force is based on software solutions, and has a high degree of freedom in the choice of major platforms and hardware in the future.
At this stage, Deep Force also uses the face recognition application as the embodiment of terminal intelligence, including the face payment, mobile phone identification, driving fatigue detection, etc., and will join the medical and long-light application in the future. Focusing on the huge business opportunities of terminal intelligence, Deep Force founder Chen Zhongwei said that Deep Force's deep learning algorithm will further help enterprises to apply to the identification of multiple devices at lower cost, including face, voice, video, etc., with high accuracy. 99%. Deep Force's high-tech software solution not only won orders from international mobile phone manufacturers, but also became a member of Taiwan's new generation team to participate in CES 2018, bringing Taiwan's AI innovation technology to the international stage.
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