At Spy Equipment UK > 자유게시판

Our GPS trackers may be utilised to track and monitor the placement of individuals and autos. Part of our wider tracking gadgets vary, you’ll find smaller devices appropriate for monitoring folks and trackers for monitoring cars & autos in our GPS tracking device part. At Spy Equipment UK, iTagPro Official we are continually evolving our line of GPS trackers. Whether we make the GPS monitoring devices ourselves here in the UK our obtain the devices from different manufacturers, we guarantee that our products are top of the range. Each GPS tracker in our vary has been scrutinised and tested thoroughly, in order for us to make certain that they're up to plain as a few of most advanced out there at this time. From our GPS Patrol - a system ideal for the tracking of fleet automobiles and lorries - to our GPS Defender On Demand Tracker, we have a system to swimsuit any tracking purpose. All of our trackers have nice battery life and extremely helpful deployment time, enabling you to seize the data you require in any given scenario. What’s extra, our GPS trackers have been developed to supply pinpoint, detailed accuracy. Contact us if you wish to debate any of our GPS tracker gadgets or to learn of the right way to get probably the most out of their deployment. Our friendly group will fortunately help you. The Spy Equipment UK crew are made up of former non-public investigators and police officers and, as such, devices equivalent to GPS trackers are second nature to us. That’s why we’re greatest positioned to advise you on one of the best and most effectual spy and tracking devices.

Legal standing (The legal standing is an assumption and is not a authorized conclusion. Current Assignee (The listed assignees may be inaccurate. Priority date (The priority date is an assumption and is not a authorized conclusion. The appliance discloses a target monitoring method, a goal tracking device and digital equipment, and relates to the technical field of artificial intelligence. The tactic includes the following steps: a primary sub-network in the joint monitoring detection community, a primary feature map extracted from the goal characteristic map, and a second feature map extracted from the target feature map by a second sub-network in the joint monitoring detection network; fusing the second feature map extracted by the second sub-network to the first function map to acquire a fused function map corresponding to the first sub-community; acquiring first prediction data output by a first sub-community based on a fusion function map, and acquiring second prediction info output by a second sub-network; and determining the present position and the motion path of the transferring goal within the goal video primarily based on the first prediction information and the second prediction information.

The relevance amongst all of the sub-networks which are parallel to each other will be enhanced via function fusion, and iTagPro Official the accuracy of the decided place and motion trail of the operation goal is improved. The current utility pertains to the field of synthetic intelligence, and specifically, to a goal monitoring method, apparatus, and electronic machine. In recent times, artificial intelligence (Artificial Intelligence, AI) technology has been broadly used in the sphere of target monitoring detection. In some scenarios, a deep neural community is typically employed to implement a joint hint detection (tracking and object detection) network, the place a joint trace detection community refers to a network that's used to attain target detection and target hint together. In the prevailing joint monitoring detection network, the position and motion path accuracy of the predicted transferring goal just isn't excessive sufficient. The applying supplies a target tracking methodology, a target tracking device and digital equipment, which might improve the problems.

In a single aspect, an embodiment of the present application supplies a goal monitoring method, the place the strategy contains: a primary sub-community in a joint monitoring detection community is used for extracting a primary characteristic picture from a goal characteristic image, and a second sub-network within the joint monitoring detection network is used for extracting a second characteristic image from the target characteristic picture, whereby the goal characteristic image is extracted from a video body of a goal video; fusing the second feature map extracted by the second sub-network to the first feature map to obtain a fused function map corresponding to the primary sub-community; buying first prediction information output by a primary sub-network based on the fusion characteristic map, and buying second prediction data output by a second sub-community; based on the primary prediction data and the second prediction information, determining the current position and the motion path of the moving goal in the goal video.