HuSIMS - Human Situation Monitoring System
The HuSIMS project aims to improve security in densely populated areas by providing a dense mesh of intelligent visual sensors that is sensitive to irregular behavior patterns in the monitored area. Detection of anomalous events will trigger the appropriate emergency action and provide visual notification - without compromising personal privacy.
The HuSIMS project aims to develop a system that can improve safety and security in city centers, train stations, office buildings etc.
Intelligent visual sensors will be deployed in a city all along the streets. They are small and unobtrusive, and communicate wirelessly with the Monitor and Control System (MCS) located elsewhere. The low optical resolution does not allow recognizing faces or people, but does allow automatic determination of scene parameters. Using advanced analysis algorithms, the MCS analyzes these parameters and deciphers whether that activity in the street is normal - or the recorded activity merits a second look from the MCS operator or a security officer on the scene.
Development of HuSIMS proceeds in three main directions.
The new system will be constructed from three main (and new) components:
- A new intelligent sensor. These will include camera, processor (running thin, intelligent algorithms that analyze continuously a complex visual scene and extract relevant semantic information) and communication interface.
- Network components that will be used as infrastructure for building on top of it a surveillance network will be developed. Two network types will be developed:
- o A data collection network that will connect the sensors to the MCS application and will include mesh type components, for indoor and outdoor deployment, and will be based on WiMAX and on PLC/HomePlug technologies
- o The alarm distribution network that will connect the backend application with the mobile users who will be in charge of providing primary and immediate intervention
- Monitoring and control system (MCS), that will handle large amounts of data received from numerous intelligent sensors. The MCS will analyze scene descriptors provided by the sensors and will provide usable alert information in real-time for the system users - both to the control room and to mobile users
Finally, the individual software and platform components developed will be integrated, tested and validated, both in laboratory and in a real-life field test pilot installation.
AFCON's role in the project
AFCON is leading the development and implementation of the MCS - (WP5) and has main roles in system requirements (WP2) and system integration and validation (WP6).
The project will be developed in the framework of CELTIC initiative - a EUREKA cluster program. A consortium of 12 partners was created (3 of them are Israeli partners) to promote this project.
Project web site: http://www.celticplus.eu/Projects/Celtic-projects/Call7/HUSIMS/husims-default.asp