With more than 20 Years in the IoT Industry > 자유게시판

With greater than 20 years in the IoT industry, Jimi IoT is an business chief within the design and manufacturing of related gadgets that power improvements in related industries like logistics and shipping, fleet management, automobile and e-bike rentals and insurance coverage, industrial fabrication, personal safety and many extra. Please contact us if you can not find a product that meets your particular needs, we may need a really perfect solution for you. You'll be able to relaxation assured with our merchandise as we provide a thirteen month guarantee on all our tracking and DVR gear. If you select to bundle your tools with our platform Tracksolid Pro, the guarantee interval will probably be prolonged to 24 months. Equipment will proceed to receive common software program updates to handle bugs, problems or iTagPro Official practical adjustments. Software updates for the system might be available for a minimum of 36 months from the date of manufacture. Support will be updated and extended because the lifecycle of the system modifications.

Object detection is extensively utilized in robotic navigation, clever video surveillance, industrial inspection, aerospace and many different fields. It is a crucial department of picture processing and laptop imaginative and prescient disciplines, and can be the core part of clever surveillance systems. At the same time, goal detection can also be a basic algorithm in the sector of pan-identification, which plays a vital function in subsequent tasks equivalent to face recognition, gait recognition, crowd counting, and instance segmentation. After the first detection module performs goal detection processing on the video body to obtain the N detection targets in the video frame and the primary coordinate information of each detection target, the above methodology It additionally consists of: displaying the above N detection targets on a screen. The first coordinate info corresponding to the i-th detection goal; obtaining the above-mentioned video body; positioning within the above-talked about video frame in line with the primary coordinate information corresponding to the above-mentioned i-th detection goal, acquiring a partial picture of the above-mentioned video frame, and determining the above-talked about partial image is the i-th picture above.

The expanded first coordinate information corresponding to the i-th detection goal; the above-talked about first coordinate data corresponding to the i-th detection goal is used for positioning in the above-mentioned video body, together with: according to the expanded first coordinate information corresponding to the i-th detection goal The coordinate information locates in the above video frame. Performing object detection processing, if the i-th image contains the i-th detection object, iTagPro Official buying position information of the i-th detection object in the i-th picture to acquire the second coordinate information. The second detection module performs goal detection processing on the jth image to determine 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 a number of faces in the above video frame, and first coordinate data of each face; randomly obtaining target faces from the above a number of faces, and intercepting partial photos of the above video body according to the above first coordinate info ; performing target detection processing on the partial picture by way of the second detection module to obtain second coordinate data of the target face; displaying the target face according to the second coordinate information.

Display multiple faces in the above video body on the display. Determine the coordinate record in line with the primary coordinate info of every face above. The primary coordinate information corresponding to the goal face; acquiring the video body; and positioning in the video body in response to the first coordinate data corresponding to the goal face to obtain a partial picture of the video frame. The prolonged first coordinate info corresponding to the face; the above-talked about first coordinate information corresponding to the above-talked about goal face is used for positioning in the above-talked about video frame, together with: in response to the above-mentioned prolonged first coordinate info corresponding to the above-talked about target face. In the detection process, if the partial image contains the goal face, buying place data of the target face in the partial image to obtain the second coordinate data. The second detection module performs target detection processing on the partial picture to find out the second coordinate information of the opposite goal face.