Video Acuity Measurement System
Video Acuity Measurement System (TOP2-164)
Patent Only, No Software Available For License.
There is a widely acknowledged need for metrics to quantify the performance of video systems. NASAs new empirical Video Acuity metric, is simple to measure and relates directly to task performance. Video acuity is determined by the smallest letters that can be automatically identified using a video system. It is expressed most conveniently in letters per degree of visual angle. Video systems are used broadly for public safety, and range from very simple, inexpensive systems to very complex, powerful, and expensive systems. These systems are used by fire departments, police departments, homeland security, and a wide variety of commercial entities. They are used in streets, stores, banks, airports, cars, and aircraft, as well as many other settings. They are used for a variety of tasks, including detection of smoke and fire, recognition of weapons, face identification, and event perception. In all of these contexts, the quality of the video system impacts the performance in the visual task. The Video Acuity metric matches the quality of the system to the demands of its tasks.
The Video Acuity metric is designed to provide a unique and meaningful measurement of the quality of a video system. The automated system for measuring video acuity is based on a model of human letter recognition. The Video Acuity measurement system is comprised of a camera and associated optics and sensor, processing elements including digital compression, transmission over an electronic network, and an electronic display for viewing of the display by a human viewer. The quality of a video system impacts the ability of the human viewer to perform public safety tasks, such as reading of automobile license plates, recognition of faces, and recognition of handheld weapons. The Video Acuity metric can accurately measure the effects of sampling, blur, noise, quantization, compression, geometric distortion, and other effects. This is because it does not rely on any particular theoretical model of imaging, but simply measures the performance in a task that incorporates essential aspects of human use of video, notably recognition of patterns and objects. Because the metric is structurally identical to human visual acuity, the numbers that it yields have immediate and concrete meaning. Furthermore, they can be related to the human visual acuity needed to do the task. The Video Acuity measurement system uses different sets of optotypes and uses automated letter recognition to simulate the human observer.
- 100% objective
- Collapses all system issues into one single metric
- Metric is relevant to end user
- Metric can be related to human visual acuity
- Monitor events and locations
- Video Surveillance
- Face identification
- Homeland security
- Safety and security
- Detection of smoke and fire
- Recognition of weapons