Point me up to "face recognition" seconds to verify the real body AI control to enhance the user experience

Recently, the largest real-time logistics company in China pointed out that the “face recognition” technology of the rider APP on the line for nearly 2 months has a recognition accuracy rate of 99.9%. This technology is part of the AI-controlled rider. It not only can verify the true identity of the rider within 1 second, making the delivery process more secure and improving the user's service experience.

Face recognition technology is a biometric recognition technology based on human facial feature information for identification. This technology uses a camera to capture images or video streams containing faces and automatically detect and track faces in the images. Official introduction, any user who wants to register as a rider, as long as the face is brushed, face recognition technology will verify and confirm its identity information. The rider no longer needs to upload a photo of the handheld ID card for verification. This greatly improves the review time of the rider's identity and effectively ensures that the rider's registration status is authentic.

According to the point of introduction of the technical person in charge, the initial self-timer upload submission-audit mode, the rider is not convenient to operate. However, face recognition technology, the rider does not need to take a selfie, the submission process takes only 15 seconds, and the audit time is controlled at about 1 second. The rider can perform identity verification through active inquiry only according to the APP prompt operation, which is a fast and secure authentication mode.

Point me up to "face recognition" seconds to verify the real body AI control to enhance the user experience

“This not only enhances the rider's experience, but at the same time, as a real-time logistics industry that delivers home, this technology can also guarantee user safety in all aspects,” the official said.

It is understood that the point of my business covers more than 300 cities across the country, there are already more than 2 million registered riders, the use of this technology has brought convenience to many riders. Luo Qinchuan, a young man from Chengdu, has just registered as a rider of the point. It is the first beneficiary of this technology: "Listen to a friend, he made a point that my rider has a very high income. I asked him to recommend it to open his mouth and blink. It’s very convenient to be able to authenticate with a few steps of shaking your head."

Point me up to "face recognition" seconds to verify the real body AI control to enhance the user experience

In response to the follow-up application of this technology, the person in charge said: "As a technology-driven company, we have been building and improving a database of rider portraits to enhance our smart-single technology. The faces collected during the review will also be saved. In the database, to standardize the implementation of the rider 'one person, one certificate, one number', and use the post-sampling inspection to standardize the rider operation and platform management."

It is understood that Dingda is still developing applications such as image recognition and intelligent voice assistants, which are used for equipment sampling, intelligent order dispatch, etc., to improve the rider experience with technology and improve distribution efficiency to promote unification, Standardized service operation process.

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