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Video Analytics for CCTV · deployment (e.g. video, IR sensor, depth sensors, etc.) • low-cost...
Transcript of Video Analytics for CCTV · deployment (e.g. video, IR sensor, depth sensors, etc.) • low-cost...
Video Analytics for CCTV
• Company Overview
• FP7 – P-React Project
• H2020 – dRedBox
• Industry trends
• Other projects
Kinesense –
H2020 projects and interests.
Overview
Video Analytics for Police
Dealing with Video Overload
Kinesense Video Investigation
• Kinesense – How we help Police
• Challenges/Scaling
• Moving Analytics to the Camera...
• ...and managing results in the cloud
60% of Police Forces in the UK, covering 50% of UK population
Netherlands national police
Belgium, Denmark
Singapore, Morocco
Private Security Companies
Police Forces adopting Kinesense…
Who uses Kinesense for Video Search?
Kinesense Role in Project
- Technical Leader
- Responsible for overall design integration, testing
- Work Package Leader
- Dissemination & Exploitation
- Result – working system, ‘5’ result
FP7 – P-React
Budget: €1.9m
Key Technologies
• Intelligent multi-sources cameras and sensorsdeployment (e.g. video, IR sensor, depthsensors, etc.)
• low-cost embedded system for the intelligentcontrol
• A low-cost network connection for the videoand alert transmission
• Cloud service Video Surveillance as a Service(VSaaS)
• A unified video archive integration layer
• Enhanced video analytics algorithms andtechniques
• Visual Analytics
Solution to video overload:
- Move processing to the Camera
-> P-React Project (EU FP7)
-> Platform for smart IoT cameras to share alerts with each other
-> One camera activates its neighbour
-> On-Camera detection of breakings, assault, screaming, vandalism, etc.
How to solve video overload
Smart Cameras talk to each other – To verify alerts...
Kinesense Role in Project
- Use case leader
- Integration, testing
- Task Leader
- Dissemination
H2020 – dRedBox
Budget: €6.7 m
Duration: 3 years
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• VM4: 4 MEM Units, 3 vCore (NO FIT)
Memory Utilization: 66%CPU Utilization: 50%
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• VM4: 4 MEM Units, 3 vCore (FIT)
Memory Utilization: 100%CPU Utilization: 100%
dRedBox – New Server Architecture
- H2020 Project with IBM, Telefonica, Kinesense, etc.
Need for Video Content Search
Most police investigations involve huge amounts of video
Police spend billions of man-hours watching CCTV for investigations
Homicide case involves up to 10,000 hours of CCTV…
… but only a few minutes used as evidence per case
Police – world’s biggest video consumers
Map camera locations for an optimal retrieval strategy
Mapping Solution
• Locations
• Owner detail
• Manufacturer/ Player
• Field of View (FOV)/ image)
Other projects:
• Luas Traffic Light Infringement
• Vehicle Collision Investigation
• Digital Asset Management
Open platform/API
• Face recognition
• 3rd Party Algorithms
Artificial Intelligence
New Video Analytics Tools
Video Analytics in the Cloud
IoT for Video Surveillance
Digital Evidence Management
Video Management for Logistics
Data Protection/Redaction
H2020 Project Interests
Contact us:
• www.kinesense-vca.com