Sub-Pixel Tracking.
99.6% recognition | 0.3px positioning | Mono/Multi-camera modes.
Multi-Type Target Recognition
- Marker-Based Tracking：
Applicable to scenarios such as car crash tests, airbag deployment monitoring, and military weapon testing. Utilizes image features of targets and supports external markers (e.g., coded targets, cross-shaped quadrant markers) to enhance recognition accuracy. - Marker-Free Tracking：
For large targets with shape variations (e.g., parachutes, human bodies). Employs vision-based large models for target segmentation and tracking without markers, achieving 98% edge recognition accuracy.
Multi- & Single-Camera 2D/3D Coordinate Solving
- Supports multi-camera (two or more) and single-camera (for planar motion scenarios) measurement modes, with multiple algorithms tailored to diverse test environments. Achieves trajectory resolution accuracy better than 0.1m at 200m target distance.
High Precision & Environmental Adaptability
- Automatically captures and tracks moving entities in image sequences without pre-defined models. Supports multi-target tracking with 99.6% recognition rate.
- Sub-pixel positioning technology achieves 0.3-pixel accuracy, significantly enhancing detection reliability.
- Maintains stability under target rotation, scale variation, occlusion, and sudden lighting changes.
Visualization of Analysis Results
- Enables trajectory curve fitting/editing, calculation of speed, acceleration, angular velocity, and displacement, with 3D visualization for dynamic analysis.
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