Citizen Speed Safety: Difference between revisions
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(Created page with "Proposed to Boeing Many small communities are endangered by drivers ignoring speed limits and driving at high speed through populated areas. Some “speed trap” apps ar...") |
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Client: Ian Hales, [[Boeing]] <ian.j.hales@boeing.com> | |||
Many small communities are endangered by drivers ignoring speed limits and driving at high speed through populated areas. Some “speed trap” apps are available for mobile phones, but these are inaccurate. It would be possible to increase accuracy by using two phone cameras, one pointed along the road, and the other across it. Computer vision processing is needed to extract speed data from two time-stamped videos, and construct a calibrated 2D model of the road, vehicle speed, and licence plate number, which can be forwarded to local enforcement agencies together with verified witness testimony. | Many small communities are endangered by drivers ignoring speed limits and driving at high speed through populated areas. Some “speed trap” apps are available for mobile phones, but these are inaccurate. It would be possible to increase accuracy by using two phone cameras, one pointed along the road, and the other across it. Computer vision processing is needed to extract speed data from two time-stamped videos, and construct a calibrated 2D model of the road, vehicle speed, and licence plate number, which can be forwarded to local enforcement agencies together with verified witness testimony. | ||
Latest revision as of 07:15, 9 November 2017
Client: Ian Hales, Boeing <ian.j.hales@boeing.com>
Many small communities are endangered by drivers ignoring speed limits and driving at high speed through populated areas. Some “speed trap” apps are available for mobile phones, but these are inaccurate. It would be possible to increase accuracy by using two phone cameras, one pointed along the road, and the other across it. Computer vision processing is needed to extract speed data from two time-stamped videos, and construct a calibrated 2D model of the road, vehicle speed, and licence plate number, which can be forwarded to local enforcement agencies together with verified witness testimony.
