Use Case: Automatic Detection and Classification of Sounds in Urban Spaces

Your challenge

Cities must respond quickly and efficiently to emergencies, accidents, and unforeseen events while securing infrastructure. This requires a dense network of affordable, connected sensors that also fully respect individual privacy. Traditional video technology is not suitable for large-scale, cost-effective, and privacy-compliant event detection to ensure and improve quality of life in urban areas.

Your benefit

Our AI-powered sound recognition detects and classifies environmental sounds – for example, at construction sites, in traffic control, or for noise monitoring. In public spaces, the system identifies suspicious sounds like gunshots or screams and automatically alerts security personnel. Such an automated approach enables faster emergency responses and a flexible integration of novel sound classes.

Extras

Speech is automatically removed from recordings before processing, enabling 100% privacy-compliant analysis of the captured acoustic environment.