Webfleet Trailer Tracking > 자유게시판

Now you may monitor your trailers, cell equipment, toolboxes and even folks in Webfleet. Simply attach a Geobox 4G tracking iTagPro smart device to your asset and we can present its movements in your present Webfleet system as a dynamic deal with. Assets could be grouped and colour coded to assist choice and iTagPro smart device conceal/show as a selectable layer. Staff movements can be tracked using both utilizing the Geobox rechargeable micro tracker or by activating the free Geobox Tracker app on their Android cellular. For iTagPro smart device assets which can be largely static Webfleet alone may be adequate to keep track of movements. Additional Geobox full web and cellular app to trace the detailed motion of your unpowered belongings. Limited to 24 updates per asset per day. Additional Geobox full web and mobile app to track the detailed movement of your unpowered property. Geobox affords a variety of 4G enabled stay tracking gadgets appropriate for any asset, each powered and unpowered, iTagPro tracker comparable to; trailers, generators, lighting rigs, proper all the way down to individual cargo gadgets, and even individuals. This presents better operational efficiency and visibility… The Geobox Web Tracking service is a fast, simple to use, itagpro tracker web-primarily based platform and iTagPro smart device smartphone app that connects to your tracking devices and ItagPro empowers you to watch your property with a range of options… Scenario This is the place you describe the problem that wanted to be solved. 180 words are shown here. DJs flock by when MTV ax quiz prog. Junk MTV quiz graced by fox whelps. Bawds jog, flick quartz, vex nymphs.

Object detection is extensively used in robot navigation, clever video surveillance, iTagPro smart device industrial inspection, aerospace and lots of other fields. It is a vital department of image processing and laptop vision disciplines, and is also the core a part of clever surveillance methods. At the same time, goal detection can be a primary algorithm in the sphere of pan-identification, which plays a significant function in subsequent tasks reminiscent of face recognition, iTagPro smart device gait recognition, crowd counting, and instance segmentation. After the primary detection module performs target detection processing on the video frame to acquire the N detection targets in the video frame and the primary coordinate data of each detection target, the above technique It also includes: displaying the above N detection targets on a display screen. The first coordinate data corresponding to the i-th detection target; obtaining the above-talked about video body; positioning within the above-mentioned video frame in keeping with the primary coordinate data corresponding to the above-mentioned i-th detection goal, acquiring a partial picture of the above-mentioned video body, and figuring out the above-mentioned partial picture is the i-th picture 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 within the above-talked about video frame, including: in keeping with the expanded first coordinate data corresponding to the i-th detection goal The coordinate information locates within the above video frame. Performing object detection processing, if the i-th picture consists of the i-th detection object, acquiring place information of the i-th detection object in the i-th picture to obtain the second coordinate data. The second detection module performs goal detection processing on the jth image to find out the second coordinate information of the jth detected target, where j is a positive integer not greater than N and not equal to i. Target detection processing, acquiring multiple faces within the above video frame, and first coordinate info of every face; randomly acquiring goal faces from the above a number of faces, and intercepting partial images of the above video frame according to the above first coordinate info ; performing goal detection processing on the partial picture via the second detection module to acquire second coordinate data of the goal face; displaying the goal face in response to the second coordinate info.

Display multiple faces within the above video body on the display screen. Determine the coordinate list in line with the first coordinate information of each face above. The first coordinate information corresponding to the goal face; acquiring the video body; and positioning in the video body according to the primary coordinate data corresponding to the target face to acquire a partial picture of the video body. The prolonged first coordinate information corresponding to the face; the above-talked about first coordinate data corresponding to the above-mentioned target face is used for positioning in the above-mentioned video frame, affordable item tracker together with: according to the above-mentioned extended first coordinate info corresponding to the above-talked about goal face. In the detection course of, if the partial picture includes the goal face, buying position information of the goal face within the partial picture to obtain the second coordinate information. The second detection module performs goal detection processing on the partial picture to determine the second coordinate information of the opposite target face.

In: performing target detection processing on the video body of the above-talked about video through the above-talked about first detection module, iTagPro smart device obtaining a number of human faces within the above-talked about video frame, and the primary coordinate information of each human face; the local image acquisition module is used to: from the above-mentioned a number of The goal face is randomly obtained from the private face, and the partial image of the above-mentioned video body is intercepted in response to the above-mentioned first coordinate info; the second detection module is used to: perform goal detection processing on the above-mentioned partial image by means of the above-talked about second detection module, so as to acquire the above-talked about The second coordinate data of the target face; a display module, configured to: display the goal face in response to the second coordinate info. The target monitoring methodology described in the primary facet above may realize the goal selection methodology described within the second aspect when executed.