Dear visitor, please be informed that this is the ITEA staging environment. No actions here will be updated to production, feel free to test the system
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)