Characteristic collection and analysis system based on wearable device

Abstract

The invention discloses a characteristic collection and analysis system based on a wearable device. The system comprises the wearable device, a wireless networking module and a cloud computing big data service module. The wearable device is used for collecting data information of a target object. The wireless networking module is used for sending data information collected by the wearable device to the cloud computing big data service module and sends a decision obtained after the cloud computing big data service module processes the data information to the wearable device. The cloud computingbig data service module stores various data, analyzes and processes the received data information collected by the wearable device, makes a decision result and sends the decision result to the wearable device. A target object is collected actively by the wearable device and the cloud computing big data service module can identify the target rapidly and accurately, so the system is reliable in performance, many in application scene and high in intelligence degree.

Description

technical field [0001] The invention relates to the technical field of smart wearable devices, in particular to a feature collection and analysis system based on wearable devices. Background technique [0002] The existing intelligent collection and analysis system mainly uses surveillance cameras and smart terminals to collect and analyze the people, vehicles and their behaviors in the scene, and recognizes the characteristic information such as faces, license plates, behaviors, etc. Its behavior is analyzed for intelligent analysis of security information and security management. The input and collection equipment of the existing intelligent collection and analysis system is usually fixed installation, and can only passively collect the targets that enter the perspective of the collection equipment and within a suitable distance. At the same time, it is also affected by whether the observation target will actively cooperate. Targets collect and detect information. Due to ...

AI Technical Summary

Problems solved by technology

The input and collection equipment of the existing intelligent collection and analysis system is usually fixed installation, and can only passively collect the targets that enter the perspective of the collection equipment and within a suitable distance. At the same time, it is also affected by whether the observation target will actively cooperate. The target collects and detects information. Due to the influence of many factors such as viewing angle and distance, it is very difficult for a fixed-position input device to perform security checks on moving targets and targets that are dynamically obscured, such as passengers in cars and trailing people in the crowd.

Due to the passive characteristics of the input collection equipment, the intelligent collection and analysis system cannot obtain information on suspicious targets, and the security inspection system's ability to monitor and inspect key targets is greatly limited. It can only collect relatively normal and active security groups. It is also difficult to improve the ability of suspicious, suspected, fugitive personnel and decks, lost, modified vehicles and other items. The passive collection characteristics of the existing system lead to a large gap between the effectiveness and effectiveness of the existing system's security checks and actual needs. , needs to be improved and innovated urgently

[0003] The face recognition, license plate recognition, X-ray luggage security inspection system and other systems and equipment of the existing system are separate systems, which need to be photographed and processed by different shooting and recording devices, and the processed data are entered into their respective systems. In the database of the system, the data is not directly related, and it is impossible to form a security inspection management system centered on people. Because there is no direct relationship between people, vehicles and luggage items, the monitoring of vehicles and luggage items lacks continuity and effectiveness, and there are great problems. of security breaches and management deficiencies

[0004] The existing system has a low degree of intelligence in data processing, low data association performance, and poor deep learning capabilities. The data model managed by the platform is relatively simple, and there are problems that intelligent analysis, artificial intelligence, and big data functions cannot meet the growing public security needs.

Images