Detecting Public safety risks using sound cameras
- Project
- 15026 PS-CRIMSON
- Type
- New standard
- Description
- Creating situational awareness using sound
- Robust localization and classification of sound sources
- Real-time
- Privacy robust solution using only metadata and short audio clips as output
- Multiple classifiers can be used to trigger events (Aggression, car alarms, gunshots, vehicle detection, drones).
- Integration with multiple platforms through API
- Contact
- Paul van Dooren
- paul.van.dooren@sorama.eu
- Technical features
Input(s):
- Timestamped audio streams from multiple sound cameras
- Classification of aggressive sound
Main feature(s):
- Sound cameras listen to the specific surrounding and are able to detect and classify aggressive behavior using sound classification software
- Detection and event alarms can be used to inform police or other public authorities through a user platform (e.g. Unity or Esri platform)
Output(s):
- Metadata information
- Short (max 2 minutes) pre- and post alarm audio recording
- Integration constraints
- Integration through API
- SW constraints: no
- HW constraints: NVIDIA GPU, 8 GB GPU RAM
- Targeted customer(s)
Police, surveillance and security operators, municipalities, traffic monitoring.
- Conditions for reuse
- Hardware (sound cameras)
- Licensing (API and classification software)
- Confidentiality
- Public
- Publication date
- 15-01-2020
- Involved partners
- Sorama B.V. (NLD)