Woman Finds Stalker Placed GPS Tracking Device Underneath Her Car-Poli…
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작성자 Merle 작성일25-10-03 16:46 조회2회 댓글0건본문
A man in Altoona, Pennsylvania was arrested for allegedly stalking his ex-girlfriend after he bugged her vehicle with a tracking device paid for using her debit card, in line with native information studies. After they briefly dated between December 2020 and January 2021, Matthew McDonald, 46, iTagPro features allegedly continued contacting the sufferer repeatedly, iTagPro features based on Fox8. He would apparently text her from varied telephone numbers stating he was conscious of her location and would drive around her office, she informed police. The woman finally discovered a small GPS device in her automobile, Fox8 reported. She also found out her debit and unemployment playing cards had been being used to make a recurring payment of $40 on Amazon without her permission. The quantity charged to the victim was estimated at $600. SpyTec, the corporate manufacturing the machine, which offers actual-time location to its owner, iTagPro bluetooth tracker mentioned the merchandise belonged to McDonald, who allegedly used the girl's debit card for iTagPro features fee, geofencing alert tool according to Fox8.
McDonald allegedly known as the victim a "snitch" in a message after police removed the tracking device from her car. Police discovered the GPS tracker to be the same one McDonald had utilized in a previous stalking incident he was jailed for. In 2019, McDonald was arrested on comparable costs, the Altoona Mirror reported at the time. He pleaded guilty to a number of crimes, together with stalking, theft and ItagPro prowling at night time, after another ex-girlfriend reported similar conduct to police, in accordance with court paperwork seen by the Altoona Mirror. McDonald subjected the victim, a lady he dated until October 2018, to a marketing campaign of harassment until she discovered a tracking device on her car in November 2019, nonetheless in response to the Altoona Mirror. The newspaper said police recognized the machine as a Spytec STI GL300. He tracked the girl's movements for eight months. McDonald was accused of sending his earlier victim texts indicating he knew of her location, in addition to that of a man he believed she was romantically involved with. Police said McDonald vandalized the victim's automotive on multiple occasions, iTagPro features having smashed its glass elements, spray painted the car, iTagPro features slashed all four tires, cut the serpentine belt and stolen her license plate 3 times, the Altoona Mirror reported. It wasn't until she noticed holes into her automotive radiator that she discovered the tracking device hooked up to the bumper.
Legal status (The legal status is an assumption and isn't a authorized conclusion. Current Assignee (The listed assignees could also be inaccurate. Priority date (The priority date is an assumption and is not a authorized conclusion. The appliance discloses a goal monitoring methodology, itagpro tracker a target tracking device and iTagPro features digital equipment, and pertains to the technical subject of artificial intelligence. The tactic comprises the following steps: a primary sub-community within the joint monitoring detection community, a primary characteristic map extracted from the goal feature map, and a second characteristic map extracted from the target feature map by a second sub-community within the joint tracking detection network; fusing the second characteristic map extracted by the second sub-network to the primary feature map to acquire a fused feature map corresponding to the primary sub-community; buying first prediction info output by a first sub-network primarily based on a fusion characteristic map, and buying second prediction info output by a second sub-network; and figuring out the present position and the movement path of the shifting target in the target video primarily based on the first prediction data and the second prediction info.
The relevance among all of the sub-networks which are parallel to one another will be enhanced by way of feature fusion, and the accuracy of the determined position and motion trail of the operation target is improved. The current software relates to the sector of artificial intelligence, and specifically, to a goal monitoring methodology, apparatus, and digital machine. In recent years, artificial intelligence (Artificial Intelligence, AI) technology has been extensively used in the sphere of target monitoring detection. In some eventualities, a deep neural network is usually employed to implement a joint hint detection (tracking and object detection) network, where a joint trace detection community refers to a network that's used to achieve target detection and pet gps alternative goal hint together. In the present joint tracking detection network, the position and movement trail accuracy of the predicted transferring target shouldn't be high sufficient. The appliance provides a goal tracking methodology, a goal tracking device and electronic equipment, which might enhance the issues.
In one facet, an embodiment of the present software supplies a target monitoring technique, where the strategy includes: a primary sub-community in a joint tracking detection network is used for extracting a first characteristic image from a target characteristic image, and a second sub-network in the joint monitoring detection network is used for extracting a second characteristic picture from the target characteristic picture, whereby the target characteristic picture is extracted from a video body of a target video; fusing the second characteristic map extracted by the second sub-network to the first characteristic map to obtain a fused function map corresponding to the first sub-network; acquiring first prediction data output by a primary sub-community according to the fusion characteristic map, and buying second prediction info output by a second sub-network; based mostly on the primary prediction data and the second prediction info, determining the present position and the motion path of the shifting goal within the target video.
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