Linkage snapshot device and method

Abstract

The invention discloses a linkage snapshot device and method, and the linkage snapshot device comprises a linkage camera device and a triggering device, and is characterized in that the linkage camera device comprises a high-definition camera, and a transmission module, an IOT communication module, an event indication module, a power supply module and a holder module which are connected with the high-definition camera. Targeted photo and video snapshot is carried out in a specific scene, post-processing work such as automatic classification, filing and storage can be carried out on photos and videos according to identity information, the equipment deployment difficulty is low, the operation cost is low, the shooting definition is high, and teachers and parents can conveniently know the activity condition of infants so as to carry out management.

Description

technical field [0001] The present invention relates to the technical field of monitoring equipment, in particular to a linkage capture device and method. Background technique [0002] In recent years, with the promotion of the concept of smart city and safe city, various surveillance cameras have spread to all areas of life, transportation, buildings, communities, schools, hospitals and so on. Most of the applications of these surveillance cameras are in the work of video recording and storage. After discovering abnormal problems or events, you can only manually trace back the video files according to the relevant time points to find the video images below the corresponding time points. This method is very cumbersome. And bulky. Moreover, with the development of informatization and digitalization, in various industries, such as kindergarten activity scenarios, according to the needs of parents, research on teaching courses, collection of observation and evaluation material...

AI Technical Summary

Problems solved by technology

However, there are many problems in this method. 1: The workload of the personnel is relatively large, and there are many students in a class. It takes a lot of time to selectively capture according to the activities of different children in different scenarios.

2: The arrangement of photos and videos is complicated, and it takes a lot of time to classify according to different children and different scenes. It is precisely because of the huge workload of this work that most of them cannot be sorted, making it difficult to use the materials

3: There is also a third party shooting, which will interfere with the normal activities of the children, resulting in the captured photos and videos not truly reflecting the natural activities of the children

There are also many defects in this solution, which are as follows: 1. The deployment and implementation of the entire park monitoring solution is relatively complicated. Most of the monitoring cameras must be connected to a central host through wired connections for data collection and analysis, resulting in deployment Difficulty and cost are very high, and it is difficult for most parks to afford

2. Most of the surveillance cameras are installed at a higher position, and the imaging quality of the surveillance camera itself is poor. Due to the limitation of the installation location and the imaging quality, the applicability of the material is poor

3: Based on the face recognition scheme, the core requirement is that there must be a face portrait with clear features in the image screen before face recognition can be performed. However, in actual scenes, faces cannot be collected in many cases, and then In addition, children, especially children under the age of 6, have no obvious differences in facial features, and their own recognition rate is low, so it is difficult to achieve the expected effect

Images