hopnetwork is an innovative technology company that devotes to the development and application of artificial intelligence and computer vision technologies.
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hopnetwork's expertise includes Perception, Decision-Making, SLAM, Face Analysis and Image Recognition. In the field of Autonomous Driving Perception, hopnetwork has developed advanced Object Detection, Lane Detection, Semantic Segmentation, Stereo and Flow, and Multi-Object Tracking technologies
Recognizes vehicles and pedestrians. hopnetwork's Object Detection technology specifically focuses on China's specific traffic conditions, enhances the recognition for bicycles, electric vehicles, motorcycles, tricycles, and balance cars, and ensures detection results under high-density flow and traffic.
Alarm sounds when lane departure is detected. This feature provides enhanced detection results under complex road conditions and unclear lanes.
Infer semantic meanings for every pixel. Semantic Segmentation is used to analyze road conditions and barrier information.
Stereo and Flow
Compute objects'depth, position, and speed. Combined with other technologies, this feature identifies pavement irregularities.
Tracks and predicts the motion of other objects. Alarm sounds when abnormal behaviors are detected.
Based on analyses of destination, vehicle, driver and surroundings, Decision Making automatically initiates actions such as steering, avoiding barriers, decelerating and braking.
Collects real-time visual data and creates a 3D map during driving. Locates the vehicle itself with cm accuracy.
Analyzes driver's status and safety concerns based on facial expressions. Alarm sounds when safety hazards are detected.
Accurately recognizes the content and attributes of an image. Classifies images using labels at diverse levels.
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