Bike Tracking System With Dead Man Alert
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Security for bike riders is a must, iTagPro website with road bike or iTagPro product mountain bike accidents happens and as soon as attainable, emergency personnel should locate you. This is much more essential while you journey alone. As bike user, I understand how essential is security for bikers and iTagPro website I need to build a simple, low energy and high protection gadget to monitor the rides and have a safety system in case of an accident. Thanks to the massive protection of sigfox network in Spain and an Arduino MKRFOX1200 with an IMU and a GPS module, it is attainable to observe the biker and in case the bike falls and it's on the ground for greater than a configured time, the devide sends and alarm with the GPS coordinates. This system checks every a configured timer (for example 10 seconds) the bike the inclination within the three axis (X, Y and Z) with the IMU.
This database is checked by an Arduino Leonardo ETH with an Arduino GSM Shield 2 and sends SMS to any individual phone you want to be warned in case os accident. Also, this machine sends the GPS position or iTagPro website IMU data every a configured timer, for instance 10 minutes. In the final model, the machine is positioned in the base of the bike bottle holder. This demo video exhibits that about 15 seconds lapse because the system detects the bottle fall until a SMS is obtained to the configured phone number. Also, this device could possibly be used for monitoring your bike rides or be tracked by your family or buddies, or in case your bike is stolen, the bike will be located in a short while. As an anti-theft device may very well be hidden contained in the bike frame in the future. Another application for this system could be for participants tracking in bike competitions with both features security and reside monitoring for organizers. Additionally, with a low power bluetooth, this gadget may very well be managed by a smartphone and add more options. For instance send your location to your bike group to know the way far you are form them.
Object detection is extensively used in robotic navigation, clever video surveillance, industrial inspection, aerospace and lots of other fields. It is an important department of image processing and laptop vision disciplines, and is also the core a part of intelligent surveillance systems. At the identical time, goal detection can be a primary algorithm in the field of pan-identification, which performs a vital function in subsequent duties 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 in the video body and the primary coordinate information of every detection goal, the above methodology It additionally consists of: displaying the above N detection targets on a display screen. The primary coordinate data corresponding to the i-th detection goal; obtaining the above-talked about video body; positioning within the above-mentioned video frame in keeping with the first coordinate data corresponding to the above-talked about i-th detection goal, obtaining a partial image of the above-mentioned video frame, and determining the above-mentioned partial picture is the i-th picture above.
The expanded first coordinate information corresponding to the i-th detection target; the above-mentioned first coordinate information corresponding to the i-th detection goal is used for positioning within the above-talked about video frame, iTagPro website together with: ItagPro in keeping with the expanded first coordinate information corresponding to the i-th detection target The coordinate data locates in the above video frame. Performing object detection processing, if the i-th picture contains the i-th detection object, buying position data of the i-th detection object in the i-th image to acquire the second coordinate data. The second detection module performs goal detection processing on the jth picture to determine the second coordinate data of the jth detected target, iTagPro website the place j is a constructive integer not greater than N and never equal to i. Target detection processing, obtaining multiple faces in the above video body, and first coordinate info of every face; randomly obtaining goal faces from the above multiple faces, and intercepting partial photos of the above video body according to the above first coordinate information ; performing goal detection processing on the partial picture through the second detection module to acquire second coordinate info of the goal face; displaying the target face in response to the second coordinate information.
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