SYNC OBD-II GPS Tracker For Cars

The LandAirSea SYNC is an OBD-II GPS tracker for vehicles that provides accurate global location, real-time alerts, and geofencing. This extremely-compact GPS tracking device connects on to your car, truck, ItagPro SUV, or van through the OBD-II port. It’s best for monitoring enterprise vehicles, everyday tracker tool personal use, or even teen drivers. The SYNC GPS tracker is straightforward to install and works right out of the box within minutes. International car tracking is supported in over 155 international locations. Track and map your automobile in actual time (with Google Maps) using our internet-based mostly software program or the SilverCloud app. Receive location updates every 3 seconds, with historic playback for up to 1 12 months. Features embody machine tamper detection, geofencing, actual-time notifications, email alerts, darkish mode, and dwell location sharing with ShareSpot. Whether for private or business use, you may access your GPS monitoring data anytime, from anywhere. This compact, plug-in GPS tracker connects on to the OBD-II port and is suitable with most automobiles. Its discreet "out of sight, out of mind" design makes it best for ItagPro low-profile GPS monitoring, and even the LED lights might be disabled for optimum stealth. Built with powerful GNSS and iTagPro locator cellular antennas, the SYNC delivers reliable performance even in non-very best tracking environments. The LandAirSea SYNC can also be a fantastic solution for tracking teen drivers. It provides actual-time updates, geofencing alerts, and pace notifications, permitting parents to monitor driving behavior and location with confidence. With tamper detection, ItagPro optionally available LED disable mode, and ShareSpot location sharing, this discreet tracker offers peace of thoughts without being invasive, helping ensure your teen’s security on the street. USA-based customer & technical support. Unconditional lifetime warranty covers defective units. An reasonably priced $8.95 monthly subscription plan is required for every device. No contracts, cancel anytime for a problem-free expertise. USA-primarily based customer & technical help. We have each English and Spanish help out there.

Object detection is extensively used in robotic navigation, clever video surveillance, industrial inspection, aerospace and plenty of different fields. It is an important department of image processing and computer imaginative and prescient disciplines, and is also the core a part of clever surveillance techniques. At the identical time, goal detection can also be a fundamental algorithm in the field of pan-identification, which performs an important function in subsequent tasks corresponding to face recognition, gait recognition, crowd counting, and occasion segmentation. After the first detection module performs goal detection processing on the video frame to obtain the N detection targets within the video body and the first coordinate data of each detection goal, the above technique It also consists of: displaying the above N detection targets on a display screen. The first coordinate information corresponding to the i-th detection target; obtaining the above-mentioned video frame; positioning in the above-talked about video body based on the primary coordinate info corresponding to the above-talked about i-th detection target, obtaining a partial image of the above-mentioned video frame, iTagPro online and figuring out the above-mentioned partial image is the i-th picture above.

The expanded first coordinate data corresponding to the i-th detection goal; the above-talked about first coordinate information corresponding to the i-th detection target is used for positioning in the above-talked about video frame, including: based on the expanded first coordinate information corresponding to the i-th detection goal The coordinate info locates within the above video frame. Performing object detection processing, if the i-th picture includes the i-th detection object, acquiring place information of the i-th detection object within the i-th image to obtain 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, the place j is a optimistic integer not larger than N and never equal to i. Target detection processing, acquiring a number of faces within the above video body, and first coordinate info of each face; randomly acquiring target faces from the above multiple faces, and intercepting partial photographs of the above video frame according to the above first coordinate info ; performing goal detection processing on the partial picture by means of the second detection module to obtain second coordinate data of the target face; displaying the goal face in keeping with the second coordinate data.

Display a number of faces within the above video body on the screen. Determine the coordinate list according to the first coordinate info of each face above. The first coordinate information corresponding to the goal face; acquiring the video body; and positioning within the video frame based on the primary coordinate info corresponding to the target 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-mentioned goal face is used for positioning within the above-talked about video body, together with: in accordance with 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, acquiring position info of the goal face in the partial picture to acquire the second coordinate info. The second detection module performs goal detection processing on the partial image to find out the second coordinate information of the other goal face.

In: performing goal detection processing on the video frame of the above-mentioned video via the above-talked about first detection module, ItagPro obtaining multiple human faces within the above-mentioned video body, and the first coordinate info of every human face; the native image acquisition module is used to: portable tracking tag from the above-mentioned multiple The target face is randomly obtained from the personal face, and the partial image of the above-mentioned video frame is intercepted in response to the above-mentioned first coordinate information; the second detection module is used to: carry out target detection processing on the above-talked about partial picture by way of the above-talked about second detection module, so as to acquire the above-talked about The second coordinate information of the goal face; a show module, configured to: show the goal face in accordance with the second coordinate info. The goal monitoring method described in the primary aspect above could understand the goal choice technique described in the second side when executed.