4g Lte Gps Tracker Fallback to 3G/2G Network, Worldwide Used Tracking Device > 자유게시판

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TK419 GPS tracker is the most recent 4g lte gps tracking device of EELINK and the results of constructing on stay GPS monitoring and connectivity. With a easy design, it has configurable inputs and outputs - users get a device that best matches their wants. TK419 GPS Tracker is a tracking device which can be used worldwide, it supports 4G LTE full community and fallback to 3G/2G community,TK419 can monitor your vehicle by GPS satellite tv for pc positioning system,Data Uploaded by GPRS/WCDMA/LTE FDD community, an actual-time distant location and control of automobiles could be achieved via a robust service platform. It plays a big position in logistics and fleet administration, helping customers to achieve clear administration, reduce prices, iTagPro technology ensure safety, iTagPro technology and improve effectivity. You're ready to put in your new GPS tracking device. While your specific system will include installation instructions. Choose a proper location is vital. One of the best place for a GPS tracker is on the dashboard, at the base of the windshield. You too can place the gadget beneath or iTagPro product inside the dash to hide it from view. The GPS sign can’t penetrate steel,so don’t stick it below the hood or chassis. Secure the GPS device utilizing a zip-tie or other fastener, if needed. What does 4g lte gps tracker stand for? 4g lte gps tracker is short for "fourth iTagPro technology long-term evolution." So it’s truly two terms combined. First, 4G represents the fourth generation of cellular expertise, the following massive development after 3G. And long-term evolution, or LTE is trade jargon used to describe the particular sort of 4G that delivers the fastest mobile internet expertise.

Object detection is widely used in robotic navigation, intelligent video surveillance, industrial inspection, aerospace and plenty of other fields. It is a vital department of picture processing and pc vision disciplines, ItagPro and can also be the core part of intelligent surveillance systems. At the same time, target detection is also a fundamental algorithm in the sector iTagPro technology of pan-identification, which plays a vital position in subsequent tasks similar to face recognition, gait recognition, crowd counting, and instance segmentation. After the primary detection module performs goal detection processing on the video body to acquire the N detection targets within the video frame and the primary coordinate data of every detection target, the above methodology It additionally contains: iTagPro features 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-talked about video frame according to the primary coordinate data corresponding to the above-mentioned i-th detection target, obtaining a partial image of the above-talked about video body, and determining the above-mentioned partial image is the i-th picture above.

The expanded first coordinate information corresponding to the i-th detection target; the above-talked about first coordinate info corresponding to the i-th detection goal is used for positioning within the above-mentioned video frame, including: based on the expanded first coordinate info corresponding to the i-th detection goal The coordinate information locates within the above video frame. Performing object detection processing, ItagPro if the i-th picture includes the i-th detection object, buying place information of the i-th detection object within the i-th image to acquire the second coordinate info. The second detection module performs target detection processing on the jth picture to find out the second coordinate information of the jth detected target, where j is a optimistic integer not larger than N and not equal to i. Target detection processing, acquiring a number of faces within the above video frame, and first coordinate info of every face; randomly obtaining target faces from the above multiple faces, iTagPro technology and intercepting partial photographs of the above video frame according to the above first coordinate info ; performing target detection processing on the partial image by way of the second detection module to obtain second coordinate info of the target face; displaying the target face in keeping with the second coordinate data.

Display multiple faces in the above video frame on the display screen. Determine the coordinate listing based on the primary coordinate information of each face above. The first coordinate data corresponding to the goal face; buying the video body; and positioning within the video body in keeping with the primary coordinate information corresponding to the goal face to acquire a partial image of the video frame. The prolonged first coordinate information corresponding to the face; the above-mentioned first coordinate information corresponding to the above-talked about goal face is used for positioning in the above-mentioned video frame, together with: based on the above-mentioned prolonged first coordinate data corresponding to the above-talked about goal face. In the detection course of, iTagPro technology if the partial image includes the goal face, buying position info of the goal face within the partial picture to obtain the second coordinate data. The second detection module performs target detection processing on the partial image to determine the second coordinate data of the other goal face.

In: ItagPro performing goal detection processing on the video body of the above-mentioned video via the above-mentioned first detection module, obtaining multiple human faces within the above-mentioned video frame, and the primary coordinate information of every human face; the local picture acquisition module is used to: from the above-talked about a number of The goal face is randomly obtained from the personal face, and the partial picture of the above-mentioned video body is intercepted in response to the above-mentioned first coordinate data; the second detection module is used to: perform target detection processing on the above-mentioned partial image by means of the above-talked about second detection module, in order to obtain the above-mentioned The second coordinate data of the target face; a show module, configured to: show the goal face in keeping with the second coordinate data. The target tracking technique described in the primary facet above could realize the target choice method described within the second side when executed.