How High-tech Toilets Might Soon Be Tracking Your Every Movement
The bathroom is arguably the last bastion of privacy, but quickly a new high-tech lavatory may very well be monitoring your every motion. Researchers at the European Space Agency (ESA) and MIT have teamed up with sanitation specialists to create the ‘FitLoo’ which screens human waste for iTagPro Brand early signs of illness. "The bathroom affords an unimaginable opportunity for folks to gain control of their health," mentioned Michael Lindenmayer, digital well being and iTagPro Brand smart sanitation lead on the Toilet Board Coalition, which represents many main bathroom manufacturers. "At the second is individuals only go to the physician when they are sick. We don't take heed to our our bodies sufficient, however the toilet is listening each time we use it. The mission is based on automated pattern testing know-how already utilized by astronauts to watch health in area. For example, the International Space Station (ISS) has been trialling a machine called the Urine Monitoring System which exams small amount of fluid when astronauts urinate.
Object detection is broadly utilized in robotic navigation, clever video surveillance, industrial inspection, aerospace and many different fields. It is an important branch of picture processing and pc vision disciplines, and is also the core part of clever surveillance techniques. At the same time, target detection can be a fundamental algorithm in the sphere of pan-identification, which performs a vital position in subsequent duties comparable to face recognition, gait recognition, crowd counting, and instance segmentation. After the primary detection module performs target detection processing on the video body to obtain the N detection targets in the video frame and the first coordinate data of each detection target, the above methodology It also contains: displaying the above N detection targets on a display screen. The first coordinate information corresponding to the i-th detection target; obtaining the above-talked about video body; positioning in the above-mentioned video frame based on the primary coordinate data corresponding to the above-mentioned i-th detection goal, obtaining a partial image of the above-mentioned video body, and determining the above-talked about partial image is the i-th image above.
The expanded first coordinate data corresponding to the i-th detection goal; the above-talked about first coordinate data corresponding to the i-th detection target is used for positioning in the above-talked about video frame, together with: in accordance with the expanded first coordinate information corresponding to the i-th detection goal The coordinate info locates in the above video body. Performing object detection processing, if the i-th image consists of the i-th detection object, acquiring place information of the i-th detection object within the i-th image to acquire the second coordinate info. The second detection module performs goal detection processing on the jth image to find out the second coordinate info of the jth detected goal, where j is a positive integer not better than N and not equal to i. Target detection processing, obtaining a number of faces within the above video body, and first coordinate info of each face; randomly acquiring goal faces from the above multiple faces, and intercepting partial images of the above video body based on the above first coordinate information ; performing target detection processing on the partial image by means of the second detection module to acquire second coordinate info of the target face; displaying the target face in keeping with the second coordinate data.
Display multiple faces within the above video body on the display. Determine the coordinate list in accordance with the primary coordinate info of each face above. The first coordinate data corresponding to the target face; acquiring the video frame; and positioning in the video frame based on the first coordinate data corresponding to the target face to acquire a partial picture of the video frame. The extended first coordinate info corresponding to the face; the above-mentioned first coordinate info corresponding to the above-talked about target face is used for positioning in the above-mentioned video body, including: based on the above-talked about extended first coordinate info corresponding to the above-talked about target face. In the detection course of, if the partial image consists of the target face, buying position information of the goal face in the partial image to acquire the second coordinate info. The second detection module performs goal detection processing on the partial image to determine the second coordinate information of the opposite goal face.
In: performing target detection processing on the video frame of the above-mentioned video through the above-mentioned first detection module, acquiring multiple human faces within the above-talked about video body, and the first coordinate info of each human face; the native picture acquisition module is used to: from the above-mentioned multiple The goal face is randomly obtained from the personal face, and the partial picture of the above-talked about video frame is intercepted in line with the above-talked about first coordinate information; the second detection module is used to: perform target detection processing on the above-talked about partial picture by the above-mentioned second detection module, in order to acquire the above-mentioned The second coordinate information of the goal face; a show module, configured to: show the target face according to the second coordinate information. The goal tracking technique described in the first aspect above might realize the target choice method described within the second side when executed.
