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Computer Vision for Law Enforcement
Request #: 86452555
Computer vision technologies are playing key roles in law enforcement. The accurate detection and identification of events, for example, is an important capability for law enforcement officials. Application of video recognization and analytics systems include license plate recognition, red light monitoring, vehicle occupancy detection, speed enforcement, driver behavior and parking.
Status: Open | Published Date: 12/01/2014 | Due Date: 12/01/2014
Need Features
Applied Expertise:
- Imaging
- Sensing
- Machine Vision
- Controls
- Signal processing
- System modeling optimization
- Human usability
- Machine Learning
Potential Applications
Rapid analysis of large video databases: In some applications, very rapid analysis of large video data- bases can aid a critical life-or-death situation. ABC Widgets researchers' work in adaptive compression and compatible decompression methods have made it possible to efficiently search for vehicles in large video databases. When sufficient information is available about a law enforcement-related incident (e.g., vehicle description, plate number, color, etc.), a search can be conducted across large databases of video that have been acquired from highway, local road, traffic light, and stop sign monitoring, to track and find a suspect, missing person (Amber/Silver Alert situations).
Video-based Parking: The richness of information acquired with video cameras compared to other roadway sensors (e.g., magnetic or ultrasonic) can aid parking law enforcement applications. For example, computer vision can be used to detect short-term parking violations and parking boundary violations. It also can be used to provide information about parking space by detecting if an area on the street is occupied and then determining how much space remains available around the parked car.
To Respond to this Technology Offer
To submit your idea or proposal, please use the Respond button on the page listing. Please note that only non-confidential information can be accepted. By submitting a response you represent that the Response does not and will not be deemed to contain any confidential information of any kind at any time.
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Point of Contact: John Smith
Organization: ABC Widget Company
Area of Interest: Communications Computer Hardware Process Control
Collaboration Type: Contract Research Contract Analysis and Testing Technology Licensing
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