Dragonfly is Onit’s reducing-edge laptop imaginative and prescient indoor localization technology based mostly on visible SLAM that provides accurate indoor position and orientation to forklifts, automated guided automobiles (AGV), autonomous cell robots robots (AMR), robots, iTagPro support drones and some other shifting automobile and asset. Dragonfly allows RTLS solutions for analytics, productivity and security in GPS-denied environments like warehouses, production plants, iTagPro support factories and many others.. Dragonfly delivers the X-Y-Z coordinates and 3D orientation of any shifting system with centimeter-stage accuracy, by analyzing in actual-time the video stream coming from a standard wide-angle camera related to a small computing unit. Dragonfly represents the state-of-the-artwork for indoor localization applied sciences at locations the place GPS/GNSS cannot be used and it is rather more competitive in comparison with other indoor localization applied sciences based mostly on LiDAR, Ultra Wide Bandwidth, Wi-Fi, Bluetooth RSS. HOW DOES IT WORK? Throughout the system setup section the wide-angle digicam sends the video feed of its surroundings to the computing unit.
The computing unit takes care of extracting the options of the surroundings, iTagPro support in each of the frames, and creating a 3D map of the surroundings (which is geo-referenced using a DWG file of the area). During its utilization in production the huge-angle digital camera sends the real-time video feed of its surroundings to the computing unit. The computing unit extracts the options of the atmosphere in every of the frames and compare them with these throughout the previously created 3D map of the surroundings. This process allows Dragonfly to calculate at more than 30 Hz the X-Y-Z position and orientation in the 3D house of the digital camera (and thus of the cellular asset on which it is mounted). Dragonfly is an correct indoor location system primarily based on pc vision. The location is computed in real time utilizing just an on board camera and a computing unit on board of the system to be tracked, because of our pc imaginative and prescient algorithm. Computer vision, odometry and iTagPro support artificial intelligence are used to create an accurate system, as a way to deliver a exact location for a number of applications.
It is a superb answer for the exact indoor tracking of forklifts, AGV, AMR, robots and drones (within the 3D area). Dragonfly is way more competitive than LiDAR, UWB, iTagPro support radio signal based technologies for which an ad-hoc infrastructure should be designed, setup, calibrated and maintained for iTagPro website every particular venue. No receivers, iTagPro product no RFID tags, no antennas, no nodes, no magnetic stripes. Nothing needs to be deployed through the venue. You need only a camera and a computing unit onboard your mobile autos. No tech expertise required, no troublesome instructions, no want for error-prone and time-consuming calibrations of ad-hoc UWB infrastructure. SLAM know-how is way more robust to environmental changes as opposed to LiDAR, iTagPro bluetooth tracker which struggles considerably to take care of accuracy in environments in which obstacles change over time. Dragonfly cameras are simpler to calibrate and are extra strong to adjustments in the surroundings. Dragonfly distributed structure makes the solution reliable by eliminating mandatory server that led to SPOF (single factors of failures).
This also means that Dragonfly can develop following the scale and progress of your fleet of transferring automobiles. Dragonfly can work completely 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, iTagPro online increasing the productiveness and effectiveness of the tracked units. Along with this its aggressive value, iTagPro product makes the ROI larger than every other technology currently available on the market. Enhance the operations due to a real-time visibility of the particular utilization and path of your cell vehicles (like forklifts) to avoid below/over utilization and maximize the performance of the fleet. Know in real-time the situation of each shifting asset to forestall accidents between human-guided cell automobiles (such as forklifts) inside warehouses and iTagPro support production services enabling thus V2V (car to car) and V2P (vehicles to pedestrians) purposes for collision-avoidance. Speed up the productivity by monitoring the placement of every shifting asset to not directly know the place of each handling unit on the ground, racks and shelves.