Our Technology

Closed-Loop Tracking Algorithms

Our team specializes in developing, integrating, and manufacturing closed-loop video target-tracking solutions.

Offering cross-platform capabilities, our active integrations include G5, Quickset, IEC, RVision, Flir, Fujinon, and Sony.

Our adaptive open API allows for bi-directional communications with C2 applications while diminishing “swivel chair” integrations.

Dynamic Centroid Tracking

An automatic target selection and tracking algorithm for objects moving across land, air or sea. Our Dynamic Centroid tracking capability is well-suited to high-contrast differentials between the tracked object and its surroundings, allowing operators to be hands-free while monitoring the tracked object. Operators can select contrast polarities that best fit the environments they monitor. These polarity options include:

  • White Hot or Black Hot for low or high-intensity backgrounds

  • Auto-Polarity for automatic selection based on average intensity within the tracking gate

  • Bipolar Polarity for objects with more complex intensities against a contrasting background

Dynamic Correlation Tracking

An automatic tracking algorithm particularly suited to tracking objects which are difficult to distinguish from background clutter. This may include occlusion, changes in scale, shape or orientation.

While this algorithm requires the operator to make the initial tracking lock, once captured, it is able to re-learn the tracked object to maintain a lock against challenging visual interference to reacquire the tracking lock after occlusions.

Boat Tracking

Designed specifically for tracking watercraft while disregarding waves and horizon lines. Our Boat Tracking algorithm is designed to track fast-moving boats in standard EO or IR imaging.

Motion-on-Motion Tracking

Motion-on-Motion allows for tracking while panning or tilting a camera as an obect is in motion. Standard motion tracking is not suited for both background movement (from camera slewing) and target object movement.

This algorithm distinguishes between the target’s motion and the changing background due to camera slewing.

Man on the Loop

Real-time user control and feedback with manual slewing. Operators can switch seamlessly between automatic and manual tracking for greater control of situational awareness requirements.

Custom Development

Developing our algorithms to fit a variety of scenarios we’ve included an open API for custom configuration. Additionally, we consult and develop software systems to solve your specific problems.