Our Solutions

FIRE AND SMOKE DETECTION

Our AI model, which possesses 1.7 million fire and smoke image data, was trained on a selected 200,000 images. It classifies into 11 different categories, including false positives due to scenes like fireworks and smoke. It demonstrates a high performance with an average precision (mAP) of 0.90019.

Operating on a Jetson Nano, it achieves recognition speeds of 76-85ms per frame, which is 1/20th the performance of a standard AI PC. It boasts a flame detection rate of over 0.3% of the screen size and can detect as low as 0.1% for clean flames.

Additionally, it offers cross-platform compatibility, supporting Windows, Linux, and ARM architectures.

We differentiate between actual fires and other sources of light, such as lighting and other artificial illumination.

RECOGNITION OF CONSTRUCTION SITE EQUIPMENT

We can perform object recognition for 45 classes, including safety helmets, safety shoes, safety belts, cranes, and more.

Difference Images Extraction

We also have ...

• Object Recognition and Tracking

• Vehicle License Plate Recognition

• Fall Down Detection

• People Counting