Video Tracking Software

SANS-AI supports simultaneous video acquisition from multiple cameras. Its modular recording tools allow researchers to set the start time, recording duration, number of recordings, and intervals between recordings according to the study workflow.
Core module:
● Start time module: Customize the start time of video recording (to facilitate the software
and maze in different places.).
● Duration module: Set the duration of a single video acquisition.
Number of video recording: Set the current number of recorded videos.
● Interval time: the interval between two videos (to facilitate changing animals or
cleaning the maze).

This animal tracking software supports standard and custom maze configurations. Researchers can draw observation and analysis zones independently, load common maze templates, and apply the same zone layout to multiple videos with one click.

Integrate 5 kinds of detecting algorithm and use Erosion, Dilation and area screening to fine-adjust the contours of the animal.
Automatic Setting
Grayscale Gradient Method
Static Background Method
Dynamic Background Method
Difference Detection Method

Modular Operation, very easy and user-friendly!
Self designed Start and End marks for the Trials controls. Through modular operation, it
can accurately set up a test process that meets individual needs.
Core modules:
● Time Event: Used to define the start time of detection (to avoid the interference of human
when placing the animals at the start of video collection).
● Area Setting: Used to determine whether the animal has entered the target area.
Multi Area Setting: Used to determine whether the animal entering different zones.
● Duration: Used to define the duration of detection.
● Satisfy Quantity: Used to define "fully satisfied" or "partially satisfied" when multiple condition modules are set.

SANS-AI supports "track one in plan" and "track all in plan" in the acquisition.
SANS-AI supports the existence of multiple viewing areas within the same video, such as the 96-plate hole of the zebrafish.

Trajectory setting are mainly used to view the detection results and perform micro-processing.
Our video tracking software provides a "smoothing process" for correcting the acquired
trajectory. This can be done in two ways:
1. Smoothing: The trajectory is averaged through the data results between multiple points, and then burr edges are filtered out.
2. Max Move Distance: By setting a max. value, the fragment trajectory exceeding the value is excluded, and then the interference caused by false detection on the result is excluded.

The video analysis software allows researchers to group test results and select the parameters relevant to their study for statistical analysis.

Trajectory visualization can show the trajectory of the test animal in the whole experimental stage. The system can set the line width, line shape, feature point size, transparency of the analysis area, magnification, background, etc.

The visualization of the heat map reflects the activity distribution of the test animals in the whole test stage. SANS-AI provides the heat map based on location, time, velocity and acceleration, and can smooth the heat map, modify the size of the heat map point and the zoom of the figure.