What Is The ACCURACY OF DRAGONFLY
Dragonfly is Onit’s reducing-edge pc vision indoor localization technology primarily based on visual SLAM that provides accurate indoor position and orientation to forklifts, automated guided automobiles (AGV), autonomous mobile robots robots (AMR), robots, drones and any other shifting vehicle and asset. Dragonfly enables RTLS solutions for analytics, productivity and security in GPS-denied environments like warehouses, manufacturing plants, factories and many others.. Dragonfly delivers the X-Y-Z coordinates and 3D orientation of any shifting device with centimeter-degree accuracy, ItagPro by analyzing in actual-time the video stream coming from a standard huge-angle digicam linked 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's rather more aggressive in comparison with different indoor localization applied sciences based on LiDAR, Ultra Wide Bandwidth, Wi-Fi, Bluetooth RSS. HOW DOES IT WORK? Through 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 features of the surroundings, in every of the frames, and creating a 3D map of the environment (which is geo-referenced using a DWG file of the world). During its utilization in production the vast-angle camera sends the real-time video feed of its surroundings to the computing unit. The computing unit extracts the features of the environment in each of the frames and compare them with these throughout the previously created 3D map of the environment. This course of allows Dragonfly to calculate at more than 30 Hz the X-Y-Z position and orientation within the 3D house of the digicam (and thus of the mobile asset on which it is mounted). Dragonfly is an accurate indoor location system primarily based on pc vision. The placement is computed in real time using just an on board camera and a computing unit on board of the device to be tracked, because of our computer imaginative and prescient algorithm. Computer vision, odometry and ItagPro synthetic intelligence are used to create an correct system, in an effort to ship a exact location for multiple purposes.
It is a superb solution for the exact indoor tracking of forklifts, AGV, iTagPro locator AMR, robots and drones (in the 3D house). Dragonfly is far more competitive than LiDAR, UWB, radio signal based technologies for ItagPro which an advert-hoc infrastructure must be designed, setup, calibrated and maintained for each particular venue. No receivers, no RFID tags, no antennas, no nodes, no magnetic stripes. Nothing must be deployed through the venue. You want only a digital camera and a computing unit onboard your cellular autos. No tech expertise required, no difficult instructions, no want for error-prone and time-consuming calibrations of ad-hoc UWB infrastructure. SLAM expertise is way more sturdy to environmental changes versus LiDAR, iTagPro which struggles considerably to maintain accuracy in environments during which obstacles change over time. Dragonfly cameras are easier to calibrate and are extra strong to modifications in the setting. Dragonfly distributed structure makes the solution dependable by eliminating mandatory server that led to SPOF (single factors of failures).
This also signifies that Dragonfly can develop following the size and iTagPro official growth of your fleet of moving autos. Dragonfly can work fully offline on a computing unit on board of forklift, AVG, AMR, drones, robots or on an on-premise server. Dragonfly means that you can optimize your operations, growing the productivity and effectiveness of the tracked devices. Along with this its competitive value, makes the ROI higher than another expertise presently available on the market. Enhance the operations due to a real-time visibility of the actual utilization and path of your cell automobiles (like forklifts) to avoid beneath/over utilization and maximize the performance of the fleet. Know in real-time the placement of each transferring asset to stop accidents between human-guided mobile vehicles (akin to forklifts) inside warehouses and manufacturing facilities enabling thus V2V (vehicle to car) and V2P (autos to pedestrians) applications for collision-avoidance. Speed up the productivity by tracking the location of every transferring asset to indirectly know the position of every handling unit on the ground, iTagPro racks and shelves.