Abstract: Disclosed are an identity verification system and method. In the method, a user device captures a first biometric feature of a user by using a first biometric feature capturing device, performs de-identification processing on the first biometric feature to obtain first de-identified data, transforms the first de-identified data into a feature vector including de-identified features and stores the same in a storage device, and dynamically generates a self-key including the feature vector in response to an activation operation. A verification device captures the self-key by using a data capturing device, captures a second biometric feature by using a second biometric feature capturing device, performs the de-identification processing on the second biometric feature, transforms the result into a feature vector including de-identified features to compare with the feature vector in the self-key, and verifies the second biometric feature according to a comparison result.

Abstract: Provided is a machine vision system including multiple machine vision apparatuses and a server apparatus. The machine vision apparatuses are respectively disposed to acquire an image of a regional space where each machine vision apparatus is located, and analyze objects in the images and a correlation thereof with the regional spaces by using a first machine learning model. The server apparatus provides analysis results and model parameters of the first machine learning model uploaded by the machine vision apparatuses to a second machine learning model to construct vision information of an overall space. Each machine vision apparatus downloads the vision information of the overall space and model parameters of the second machine learning model from the server apparatus and uses the same to update the first machine learning model, and, in response to receiving a task, generates instructions to execute the task by using the updated first machine learning model.

Abstract: Disclosed are an identity verification system and method. In the method, a user device captures a first biometric feature of a user by using a first biometric feature capturing device, performs de-identification processing on the first biometric feature to obtain first de-identified data, transforms the first de-identified data into a feature vector including de-identified features and stores the same in a storage device, and dynamically generates a self-key including the feature vector in response to an activation operation. A verification device captures the self-key by using a data capturing device, captures a second biometric feature by using a second biometric feature capturing device, performs the de-identification processing on the second biometric feature, transforms the result into a feature vector including de-identified features to compare with the feature vector in the self-key, and verifies the second biometric feature according to a comparison result.

Abstract: A data market system located at the Internet includes a storage circuit, an input surface circuit, and a processor. The input surface circuit is used for receiving a query and an encrypted data packet. The processor is used for controlling the input surface circuit to receive the encrypted data packet and to store the encrypted data packet in the storage circuit. The processor processes the encrypted data packet according to the query. The encrypted data packet corresponds to at least one of anonymization application programming interface, blockchain, differential privacy, and homomorphic encryption provided by the data market system.

Abstract: A vehicle-mounted system and an operation method thereof are provided. The vehicle-mounted system includes a data acquisition device, a biometric feature acquisition device and a processor. The data acquisition device is configured to acquire a self-key generated by performing de-identification processing on a first biometric feature of a user using a vehicle to obtain first de-identified data, and transform the first de-identified data into a first feature vector including first de-identified features. The biometric feature acquisition device is configured to acquire a second biometric feature of a current user to be recognized.

Abstract: Disclosed are an identity verification system and method. In the method, a user device captures a first biometric feature of a user by using a first biometric feature capturing device, performs de-identification processing on the first biometric feature to obtain first de-identified data, transforms the first de-identified data into a feature vector including de-identified features and stores the same in a storage device, and dynamically generates a self-key including the feature vector in response to an activation operation. A verification device captures the self-key by using a data capturing device, captures a second biometric feature by using a second biometric feature capturing device, performs the de-identification processing on the second biometric feature, transforms the result into a feature vector including de-identified features to compare with the feature vector in the self-key, and verifies the second biometric feature according to a comparison result.

Abstract: A monitoring system and a monitoring method are provided by the disclosure. The monitoring method includes: capturing an image; obtaining a facial image of a monitoring target from the image; performing a de-identification processing on the image to obtain a de-identification image, and outputting the de-identification image; performing a first de-identification operation on the facial image to generate a de-identification feature; and determining whether the de-identification feature matches a pre-stored feature in a feature database to generate a verification result. In addition, the monitoring method further includes: performing a second de-identification operation on the facial image to generate a de-identification label; and querying an image database according to the de-identification label to obtain a historical de-identification image corresponding to the de-identification label.

Abstract: An access control management system, access control management method and an image capture device are provided. The access control management system includes an image capture device and a processing device. The image capture device includes: a lens; an image sensor configured to sense a light intensity passing through the lens to generate an image of a subject being captured; an image signal processor (ISP) configured to capture a face image in the generated image, perform a de-identification processing on the face image to obtain de-identified image data, and transform the de-identified image data into multiple de-identified features; and an I/O interface configured to output the de-identified features. The processing device is configured to verify an identity of a user to which the de-identified features belong by a trained deep learning model. The deep learning model is trained by using de-identified features and identities of multiple users registered in advance.

Abstract: A face recognition system and a face recognition method are provided. The face recognition system includes an image capturing device and a processing device. The image capturing device is configured to capture a face image of a user to be recognized, de-identify the face image to obtain de-identified image data, and transform the de-identified image data into multiple de-identified features and output. The processing device is configured to verify an identity of the user to which the de-identified features belong by using a trained machine learning model. The machine learning model is trained by using de-identified features and identities of multiple users registered in advance.

Abstract: A data market system located at the Internet includes a storage circuit, an input surface circuit, and a processor. The input surface circuit is used for receiving a query and an encrypted data packet. The processor is used for controlling the input surface circuit to receive the encrypted data packet and to store the encrypted data packet in the storage circuit. The processor processes the encrypted data packet according to the query. The encrypted data packet corresponds to at least one of anonymization application programming interface, blockchain, differential privacy, and homomorphic encryption provided by the data market system.