• 목록
• 답변
• 글쓰기
• 게시판 리스트 옵션
  • 수정
  • 삭제

Welcome to the OGN mission! The objective of the Open Glider Network is to create and maintain a unified monitoring platform for gliders, drones and other aircraft. The tracking information is freely obtainable to anyone so long as they comply with OGN knowledge usage guidelines. Today FLARM is primarily utilized in gliders, nonetheless other small aircraft (planes, helicopters, deltas, para-gliders and even drones) are more and more typically geared up with it, iTagPro tracker particularly if operating within the areas intensively used by gliders, such because the Alps. Contrary to FLARM, OGN proposes an open transmission protocol and has an ambition to affect (or iTagPro support higher) impose a normal. The OGN is a group project. It is predicated on software, hardware, receivers and different contributions from individuals and the open supply group. APRS linux based servers that receive and forward knowledge. Data contains device location info, standing of receivers and the standing of the OGN APRS network. A system database (aircraft).

Register your aircraft/drone with tracking device in the OGN device database right here should you want to influence the best way how it’s going to be seen in the system (nameless vs acknowledged). OGN floor receivers, based at airfields, gliding clubs, summits of mountains or non-public houses of our group members. They listen and decode the location information of aircraft in their vicinity and ship place stories through community to the APRS servers. Software for Linux that can be put in on a Pc or small mini-board computers (such because the Raspberry Pi, Cubieboard2, Odroid U3, and so on.). It drives a USB DVB-T radio receiver and listens for, decodes, sends the position studies and participates in the OGN network. Websites and functions that can use and show the data. The OGN is rising and evolving. It is a work in progress and iTagPro smart device there remains to be much work to be executed. Funding, installing and operating a receiver at your gliding club, at your house or wherever the OGN has a ‘hole’ in its coverage. The cost of receiver is probably less than two aerotows for many glider pilots. Contributing your time to update, increase and maintain this Wiki, or enhance the functions that use/ show/ share the OGN knowledge or write your own application for the group. OGN should evolve! You'll be able to join us by subscribing to our discussion group.

Object detection is widely utilized in robotic navigation, intelligent video surveillance, industrial inspection, aerospace and many different fields. It is a crucial branch of picture processing and pc imaginative and ItagPro prescient disciplines, and is also the core part of clever surveillance methods. At the same time, goal detection can be a primary algorithm in the field of pan-identification, itagpro tracker which plays a significant function in subsequent tasks such as face recognition, gait recognition, crowd counting, and occasion segmentation. After the first detection module performs target detection processing on the video body to acquire the N detection targets in the video frame and iTagPro product the first coordinate data of each detection target, the above method It also consists of: displaying the above N detection targets on a screen. The primary coordinate data corresponding to the i-th detection goal; obtaining the above-talked about video frame; positioning in the above-talked about video frame in accordance with the primary coordinate information corresponding to the above-mentioned i-th detection goal, acquiring a partial picture of the above-mentioned video body, and determining the above-talked about partial image is the i-th picture above.

The expanded first coordinate info 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-talked about video body, including: iTagPro USA in response 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 includes the i-th detection object, acquiring place info of the i-th detection object in the i-th image to acquire the second coordinate info. The second detection module performs goal detection processing on the jth picture to find out the second coordinate data of the jth detected target, the place j is a constructive integer not greater than N and never equal to i. Target detection processing, obtaining a number of faces in the above video body, and first coordinate information of each face; randomly acquiring goal faces from the above a number of faces, and intercepting partial photographs of the above video frame in line with the above first coordinate data ; performing goal detection processing on the partial image via the second detection module to acquire second coordinate information of the target face; displaying the goal face in response to the second coordinate data.