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Face recognition technology
  • Face detection

    Face detection capabilities adapt to complex environments such as side faces, occlusions, blurs, dim light, backlighting, expression changes, fast movements, etc., to achieve efficient, accurate and stable face detection functions.

  • Face comparison

    Based on the original face recognition algorithm of Ruiying Technology, the feature information of portrait is extracted and the portrait comparison is performed, and the portrait similarity score is obtained, therefore the identity information of a person can be accurately judged. Supports three portrait comparison modes of 1:1, 1:N, M:N

  • Face characters

    Accurately recognize more than 10 face character categories, such as gender, age, expression, beard, facial movement status, etc. It can be used for targeted advertising or customer information analysis, allowing you to understand customer in seconds.

  • Reality detection

    With infrared monocular/binocular camera supporting live detection, it can effectively distinguish high-definition photos, PS, 3D models, face changes and other counterfeit frauds

Object recognition technology
  • Helmet recognition

    Based on artificial intelligence image recognition technology and through the automatic recognition of personnel and helmets and other characteristics, the identification of whether to wear a helmet can be recognized, which provides a strong guarantee for the safety of production site

  • Identification of whether to wear a mask

    Intelligent image recognition system based on video stream, using the latest deep learning and big data technology to replace human eyes and automatically analyze the masks worn by personnel

  • Fire operation detection

    Relying on thermal imaging temperature measurement analysis, realize real-time monitoring of the temperature around the hot fire, early warning and prompting of abnormal temperatures, preventing fire hazards and ensuring the safety of hot construction

Video structured analysis
  • Key points of human body

    14 human body key points positioning, super real-time display of human head, shoulders, waist, legs and other positions through RGB image input, being applied to various large-scale human movements

  • Pedestrian attribute recognition

    Recognition and analysis of the attributes of pedestrians in the image, such as clothes, glasses, carrying things, wearing masks, hats, hairstyles, backpacks, holding children, etc.

  • Human behavior analysis

    And use deep learning to identify and analyze the behavior content of active target, such as: fighting, gathering, wandering, staying, intrusion, running, falling, smoking, playing cellphone, etc.

  • Humanoid detection

    Humanoid detection is used to detect and analyze humanoid objects in the image through AI intelligent algorithms, and filter out other moving objects (such as shaking branches, moving animals, light changes), etc., to generate effective and targeted alarms

Vehicle structured recognition technology
  • Vehicle attribute recognition

    Detect vehicles in the video, identify and analyze attributes such as license plate number, license plate color, body color, vehicle type, vehicle logo, and vehicle series.

  • Vehicle violation detection

    Intelligent detection and capture of vehicle violations, such as: line pressing, retrograde, illegal parking, red light running, solid line change lanes, emergency lane occupation, non-guided driving, illegal boarding and disembarking, fake cards, decks, cloning cars, smoking, phone calls, not wearing seat belts, etc.

  • Traffic incident detection

    With smart traffic camera, analyze and detect traffic incidents such as road congestion, traffic flow, headway spacing, lane occupancy, etc.

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