TRAINING METHODS AND PROCESSES
Streamline target categories by focusing on key objects - humans, motor vehicles, and non-motor vehicles - to reduce model complexity while preserving high accuracy in Xinghan Vision Models for industrial domain applications.
PERIMETER PROTECTION
The Xinghan Vision Models extends the coverage and range of perimeter detection by accurately identifying smaller targets.
Compared with CNN AI models, Xinghan large-scale AI models achieve
Up to
50%
increase in detection distance
With
98%
accuracy maintained
Achieves
92%
false-alarm reduction
WIZTRACKING
The WizTracking feature of the Xinghan Vision Models can handle complex occlusions and variations in target posture, achieving a 50% improvement in accuracy. Now integrated into our PTZ dome cameras, WizTracking significantly enhances continuous tracking capabilities.
Body is partially obscured
Human in different postures
Crawling
Crouching
Climbing
CROWD MAP
The Xinghan Vision Models' Crowd Map significantly enhances small-target detection at long distances and features Umbrella Models Compensation technology. With robust performance in dense crowds and low-light environments, the system delivers more accurate and reliable crowd management across diverse scenarios.
Daytime
Up to
2X
extended range
Detects up to
5000
people simultaneously
Rainy day
Improved
Rainy day
detection rate
Nighttime
Improved
Nighttime
detection rate
SCENE ADAPTIVE - AI WDR
The Xinghan Large-Scale AI Model leverages situational awareness to analyze both spatial and contextual characteristics of a scene, enabling intelligent and automated camera configuration.
Identify the WDR scene and auto-configure ON/OFF
*Note: The above data are all based on standard setup and test environment.
