
HARES offers an AI-powered system for detecting flying objects, aiming to enhance security by integrating with existing video surveillance systems. The system provides detection within 0.3 seconds from a distance of 5 km and can manage over 1,000 cameras simultaneously. HARES identifies and classifies objects using neural network video analytics, issuing instant notifications for potential threats. Trained on 10,000 hours of video, it can identify objects as small as sparrows and recognizes objects in all weather conditions. The system is scalable, adaptable, and compatible with existing cameras without needing radar or government approval. HARES offers flexible deployment options, including on-premise or on-cloud solutions, and functions as an independent analysis system, an additional information source for radars, or an analytical archive.

HARES offers an AI-powered system for detecting flying objects, aiming to enhance security by integrating with existing video surveillance systems. The system provides detection within 0.3 seconds from a distance of 5 km and can manage over 1,000 cameras simultaneously. HARES identifies and classifies objects using neural network video analytics, issuing instant notifications for potential threats. Trained on 10,000 hours of video, it can identify objects as small as sparrows and recognizes objects in all weather conditions. The system is scalable, adaptable, and compatible with existing cameras without needing radar or government approval. HARES offers flexible deployment options, including on-premise or on-cloud solutions, and functions as an independent analysis system, an additional information source for radars, or an analytical archive.