Solar Hybrid Tracking Device

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Have you ever ever left a trailer in the midst of a discipline and needed to spend precious time trying to find it? Have you ever had to stay late to do gear inventories or examine in on every piece of equipment and its final known location? Not solely is it important to keep observe of motorized equipment, but also crucial to track your non-motorized gear. Now, you have got heard about our actual-time tracking gadgets, and you have heard about our asset tracking devices; however have you seen each of them combined? They are an ideal combine between an actual-time and ItagPro asset tracking device, with the bonus of solar panels to help keep your tracker charged longer! Unlike the asset tracker that's fully battery powered, this tracker may be wired to the trailer’s lights to act as a real-time tracker when wanted. When the Solar Hybrid tracker will not be plugged in, they'll ping 2x a day when sitting nonetheless. However, when shifting, the Solar Hybrid iTagPro bluetooth tracker will ping each 5 minutes for correct location tracking on the go. To make traveling much more easy, when the Solar Hybrid tracker is plugged into energy, it'll ping every 30 seconds while in motion!



Object detection is widely utilized in robot navigation, clever video surveillance, industrial inspection, aerospace and plenty of other fields. It is a crucial department of picture processing and computer imaginative and prescient disciplines, and iTagPro bluetooth tracker can also be the core a part of intelligent surveillance systems. At the same time, target detection can be a basic algorithm in the sphere of pan-identification, which performs a vital function in subsequent tasks akin to face recognition, gait recognition, crowd counting, and occasion segmentation. After the primary detection module performs target detection processing on the video frame to obtain the N detection targets within the video frame and the primary coordinate data of every detection goal, the above method It also consists of: displaying the above N detection targets on a display screen. The first coordinate data corresponding to the i-th detection target; obtaining the above-mentioned video frame; positioning in the above-mentioned video body in response to the first coordinate info corresponding to the above-mentioned i-th detection goal, iTagPro bluetooth tracker acquiring a partial image of the above-talked about video body, ItagPro and iTagPro bluetooth tracker determining the above-talked about partial picture is the i-th picture above.



The expanded first coordinate data corresponding to the i-th detection goal; the above-mentioned first coordinate information corresponding to the i-th detection goal is used for positioning within the above-mentioned video body, together with: according to the expanded first coordinate info corresponding to the i-th detection target The coordinate information locates in the above video frame. Performing object detection processing, if the i-th picture contains the i-th detection object, iTagPro bluetooth tracker acquiring place info of the i-th detection object in the i-th picture to obtain the second coordinate data. The second detection module performs target detection processing on the jth image to determine the second coordinate information of the jth detected goal, where j is a constructive integer not larger than N and not equal to i. Target detection processing, iTagPro bluetooth tracker obtaining multiple faces within the above video body, iTagPro bluetooth tracker and first coordinate information of each face; randomly acquiring goal faces from the above a number of faces, and intercepting partial images of the above video body in accordance with the above first coordinate information ; performing goal detection processing on the partial picture by means of the second detection module to obtain second coordinate data of the goal face; displaying the target face according to the second coordinate data.



Display a number of faces in the above video body on the screen. Determine the coordinate listing based on the first coordinate data of every face above. The first coordinate info corresponding to the target face; buying the video body; and positioning within the video frame in line with the primary coordinate data corresponding to the goal face to obtain a partial image of the video frame. The extended first coordinate information corresponding to the face; the above-talked about first coordinate information corresponding to the above-talked about target face is used for positioning within the above-mentioned video body, including: in response to the above-talked about prolonged first coordinate data corresponding to the above-talked about target face. Within the detection course of, if the partial image contains the target face, buying place information of the target face in the partial picture to obtain the second coordinate info. The second detection module performs goal detection processing on the partial image to determine the second coordinate info of the opposite target face.



In: performing goal detection processing on the video frame of the above-mentioned video by the above-talked about first detection module, acquiring a number of human faces within the above-mentioned video body, and the primary coordinate information of each human face; the local image acquisition module is used to: from the above-talked about multiple The goal face is randomly obtained from the non-public face, iTagPro locator and iTagPro smart device the partial image of the above-talked about video frame is intercepted in line with the above-talked about first coordinate info; the second detection module is used to: perform goal detection processing on the above-mentioned partial picture through the above-mentioned second detection module, in order to obtain the above-mentioned The second coordinate data of the target face; a show module, configured to: display the target face in accordance with the second coordinate data. The target tracking method described in the primary side above could understand the goal selection methodology described within the second facet when executed.