What is the ACCURACY OF DRAGONFLY? > 자유게시판

Dragonfly is Onit’s chopping-edge laptop vision indoor localization technology based mostly on visible SLAM that provides correct indoor position and orientation to forklifts, automated guided vehicles (AGV), autonomous mobile robots robots (AMR), robots, drones and another moving automobile and asset. Dragonfly permits RTLS options for analytics, productiveness and safety in GPS-denied environments like warehouses, iTagPro bluetooth tracker manufacturing plants, factories and so forth.. Dragonfly delivers the X-Y-Z coordinates and 3D orientation of any shifting machine with centimeter-stage accuracy, by analyzing in real-time the video stream coming from a regular wide-angle digicam related to a small computing unit. Dragonfly represents the state-of-the-art for indoor localization technologies at areas the place GPS/GNSS cannot be used and it's rather more aggressive in comparison with different indoor travel security tracker localization technologies primarily based on LiDAR, Ultra Wide Bandwidth, Wi-Fi, iTagPro bluetooth tracker RSS. HOW DOES IT WORK? Throughout the system setup part the vast-angle camera sends the video feed of its surroundings to the computing unit.

The computing unit takes care of extracting the features of the setting, in every of the frames, and creating a 3D map of the atmosphere (which is geo-referenced using a DWG file of the world). During its usage in production the vast-angle digicam sends the actual-time video feed of its surroundings to the computing unit. The computing unit extracts the features of the surroundings in each of the frames and evaluate them with those within the beforehand created 3D map of the environment. This process allows Dragonfly to calculate at greater than 30 Hz the X-Y-Z place and iTagPro bluetooth tracker orientation within the 3D house of the digital camera (and iTagPro product thus of the mobile asset on which it is mounted). Dragonfly is an accurate indoor location system based on laptop vision. The placement is computed in real time utilizing simply an on board digicam and iTagPro bluetooth tracker a computing unit on board of the system to be tracked, due to our computer vision algorithm. Computer vision, odometry and artificial intelligence are used to create an accurate system, as a way to deliver a precise location for a number of applications.

It is a wonderful solution for the exact indoor monitoring of forklifts, ItagPro AGV, AMR, robots and drones (in the 3D house). Dragonfly is way more aggressive than LiDAR, UWB, radio signal based mostly technologies for which an advert-hoc infrastructure should be designed, setup, calibrated and iTagPro technology maintained for every particular venue. No receivers, no RFID tags, no antennas, no nodes, no magnetic stripes. Nothing has to be deployed via the venue. You need only a camera and a computing unit onboard your cellular autos. No tech skills required, no tough directions, no want for error-prone and time-consuming calibrations of advert-hoc UWB infrastructure. SLAM technology is much more robust to environmental adjustments as opposed to LiDAR, which struggles considerably to take care of accuracy in environments through which obstacles change over time. Dragonfly cameras are simpler to calibrate and are extra sturdy to adjustments in the atmosphere. Dragonfly distributed architecture makes the answer reliable by eliminating necessary server that led to SPOF (single factors of failures).

This additionally means that Dragonfly can grow following the size and progress of your fleet of transferring automobiles. Dragonfly can work fully offline on a computing unit on board of forklift, AVG, AMR, drones, robots or on an on-premise server. Dragonfly allows you to optimize your operations, increasing the productivity and effectiveness of the tracked devices. Along with this its competitive value, makes the ROI greater than any other technology at present available on the market. Enhance the operations thanks to a real-time visibility of the actual utilization and path of your mobile automobiles (like forklifts) to keep away from below/over utilization and maximize the performance of the fleet. Know in real-time the placement of every transferring asset to forestall accidents between human-guided cell automobiles (corresponding to forklifts) inside warehouses and production services enabling thus V2V (car to car) and V2P (automobiles to pedestrians) functions for collision-avoidance. Speed up the productivity by tracking the placement of every shifting asset to not directly know the place of every handling unit on the ground, racks and shelves.