Safety

Our Person Down Detector model utilizes advanced computer vision algorithms, including human pose estimation, to promptly detect instances of individuals falling. This model holds significant potential in improving worker and customer safety by issuing timely alerts to support personnel and first responders, thereby mitigating the risk of further injuries.

Our PPE Detector model is capable of accurately identifying instances where workers are either not wearing appropriate protective gear or are wearing it incorrectly, such as hard hats, gloves, eye protection, and safety vests. This capability ensures adherence to safety regulations. What sets our model apart from others is its extensive training encompassing a wide range of PPE colors and styles, in addition to its adaptability to custom datasets through fine-tuning.

Our Unsafe Behavior Detector has undergone training using a diverse set of heuristics that pertain to unsafe behaviors capable of causing injury. These encompass improper lifting postures, employment of multiple contact points during climbing, and maintaining situational awareness.

Our Hazardous Area Detector model affords users the capability to virtualize specific zones of interest encompassing heavy machinery, high-voltage equipment, and other areas presenting health and safety risks. This allows for the generation of real-time alerts upon personnel ingress into these designated areas.

Our Smoke and Fire Detector model is designed to produce real-time alerts and offers seamless integration with existing fire detection systems and sensors.