Security refers to preparation and protection to cope with attacks or avoid victimization, so that the protected objects are in a safe state without danger, infringement, or accidents.
In recent years, AI+ security has gradually become mainstream. AI+ security relies on advanced AI algorithms and powerful computing power to intelligently analyze various types of video data to accurately identify various types of scenarios such as crowd gatherings, people falling, illegal boundary crossing, etc. It has millisecond-level alarm capabilities and reduces manpower. While reducing costs, it can also improve the speed and efficiency of handling security issues.
AI recognition analysis process
The process of computer image recognition is usually consistent with the process of human brain image recognition, and mainly includes four steps:
Obtain information. mainly refers to converting information such as sound and light to telecommunications through sensors, that is, obtaining the basic information of the identification object and converting it into computer-recognizable information.
information preprocessing. mainly refers to the use of denoising, transformation, smoothing and other operations to process images, based on which the important characteristics of the image are improved.
extracts and selects features. mainly refers to the extraction and selection of image features in pattern recognition. In summary, it is to recognize that images have various characteristics. If a certain method is used to separate them, it is necessary to identify the characteristics of the image. Obtaining features is also called feature extraction.
design classifier and classification decision. The design of the classifier is to formulate the recognition rules based on training. Based on this recognition rule, the main types of features can be obtained, thereby continuously improving the recognition rate of image recognition , and then by identifying special features, the evaluation of the image is finally achieved. and confirm.
Security identification type
Crowd gathering identification
Based on deep learning and computer vision technology, it can count the number of people passing by and the crowding situation in the surveillance video in real time. We can also build a group aggregation analysis model to meet the supervision needs of crowded places, and intelligently determine whether there is congestion, abnormal aggregation and other behaviors in a certain area.
Personnel fall recognition
is based on a large amount of human movement data training, combined with cameras and visual analysis technology. When someone accidentally falls, is knocked down, falls due to illness, etc., it can be effectively identified and safety measures can be taken in a timely manner. Prevent unexpected risks.
Personnel fight recognition
By building a behavioral movement analysis model and a pedestrian posture analysis model, it can intelligently analyze and determine whether pedestrians have fast movements, fights, abnormal individual and group behaviors, and send early warning information to the background in a timely manner.
Safety helmet wearing identification
In construction site management applications, it can analyze and identify the wearing status of workers’ safety helmets in real time, and perform detection and alarm. It can flexibly adapt to multi-scenario applications on the construction site, ensure the safety of construction workers on the construction site, and reduce the risk of accidents.
Regional intrusion identification
can delimit the warning range for dangerous areas. When someone enters, an alarm will be issued, and the sound column will be linked to provide voice prompts, easily achieving active defense, keeping the target "out of the line", and achieving all-weather Intelligent duty.
Saida Technology uses the advanced AI+ security intelligent analysis system to provide early warning of the occurrence of crowd gatherings and fights, trigger alarms as soon as possible, and minimize the occurrence of malignant events, thereby providing sufficient reliability for the safety of personnel. protection.
