AI video surveillance

The increasingly popular AI artificial intelligence video surveillance mainly includes intelligent video analysis (IVS), face recognition, human characterisation analysis, population density analysis, human behaviour analysis, License plate recognition (ANPR), traffic flow statistics and other equipment and solutions are welcome to inquire.

Common AI video surveillance technologies are:-

Face Recognition Video Surveillance

Face Recognition is the basic function of the human visual system and the most direct means for human recognition. Therefore, it is an important research content in biometric recognition. As an emerging biometric recognition technology, human face recognition technology is an automatic identification technology based on facial features of human body. Dynamic face recognition uses a variety of techniques such as digital image/visual processing, pattern recognition, and computer vision. The human face recognition system can be divided into the following five major functions.

(1)    Face Detection: The presence of a face is detected from various scenes and its position is determined. In most cases, because the scene is more complicated, the position of the face is not known in advance, so it is first necessary to determine whether there is a face in the scene, and if there is a face, then determine the position of the face in the image. Facial hair, cosmetics, light, noise, facial tilt and face size changes, and various occlusions can complicate face detection problems. The main purpose of face detection is to find the face area on the input whole image, and divide the image into two parts, 2 face area and non-face area, which lays a foundation for processing.

(2)    Face Representation: A representation is used to represent the detected face and the known face in the database. Common notations include geometric features (such as Euclidean distance, curvature, angle), algebraic features (such as matrix feature vectors), fixed feature templates, feature faces, moiré maps, and so on.

(3)    Face Identification: Compare and match the detected face to the known face in the database to obtain relevant information. The core of this process is to select the appropriate face representation. The way and matching strategy, the structure of the system is closely related to the way the face is characterized. Usually either choose a global method or choose a feature-based approach to match.

(4)   Expression Analysis: The expression information (happiness, sadness, fear, surprise, etc.) of the face to be recognized is analyzed and classified.

(5) Physical Classification: It analyzes the physiological characteristics of the face to be recognized, and obtains information about race, age, gender, and so on.

License plate recognition video surveillance

The license plate recognition system is a new technology that provides the ability to automatically identify license plates. Many yards or yards need to record the number of vehicles entering and leaving the vehicle. However, due to insufficient staff, it is impossible to fully manage and register the entry and exit of vehicle information. The license plate recognition video surveillance system provides high-resolution image monitoring and high-definition video images. It can automatically identify and record the vehicle license plate number, and cooperate with other equipment to form an automated system for recording (recording, charging or managing) vehicle records. It is very suitable for use in areas with high cost and high labor costs in Hong Kong. We provide reliable, efficient and maintenance costs. Low license plate recognition system.

Human Flow Statistical Video Surveillance

The flow statistics system is an advanced intelligent security system that monitors the flow of people. The system uses head recognition technology to accurately count the number of people entering and leaving the port and providing information on the flow direction of the crowd. Users can specify to monitor one or more entrances and exits as needed, or they can specify the flow of people in a single direction or in both directions. The system provides accurate statistical data, provides a strong basis for scientific management, and provides a database interface for exporting raw data for 2 analyses. Personnel statistics can be used to record the flow of people in various public places. The system can provide data to the operations and management departments, which can help analyze and formulate management strategies.