Dragonfly is Onit’s cutting-edge computer imaginative and prescient indoor iTagPro Smart Tracker localization technology based mostly on visible SLAM that provides accurate indoor lost item finder position and orientation to forklifts, automated guided vehicles (AGV), autonomous cellular robots robots (AMR), robots, drones and another moving vehicle and asset. Dragonfly allows RTLS options for analytics, productiveness and security in GPS-denied environments like warehouses, manufacturing plants, factories and so on.. Dragonfly delivers the X-Y-Z coordinates and 3D orientation of any transferring machine with centimeter-level accuracy, by analyzing in real-time the video stream coming from a typical large-angle camera related to a small computing unit. Dragonfly represents the state-of-the-art for indoor localization technologies at locations where GPS/GNSS can't be used and it's way more aggressive in comparison with different indoor localization applied sciences based mostly on LiDAR, Ultra Wide Bandwidth, Wi-Fi, Bluetooth RSS. HOW DOES IT WORK? In the course of the system setup section the wide-angle camera sends the video feed of its surroundings to the computing unit.

The computing unit takes care of extracting the options of the atmosphere, in every of the frames, and creating a 3D map of the surroundings (which is geo-referenced using a DWG file of the world). During its utilization in production the vast-angle digicam sends the true-time video feed of its surroundings to the computing unit. The computing unit extracts the options of the environment in each of the frames and evaluate them with these within the beforehand created 3D map of the surroundings. This process allows Dragonfly to calculate at greater than 30 Hz the X-Y-Z position and orientation within the 3D house of the camera (and lost item finder thus of the cell asset on which it is mounted). Dragonfly is an correct indoor iTagPro Device Smart Tracker location system based mostly on laptop imaginative and prescient. The situation is computed in real time using simply an on board digicam and a computing unit on board of the machine to be tracked, because of our pc vision algorithm. Computer vision, odometry and synthetic intelligence are used to create an accurate system, with a view to ship a exact location for multiple applications.

It is a superb resolution for the precise indoor tracking of forklifts, AGV, AMR, robots and drones (in the 3D area). Dragonfly is way more aggressive than LiDAR, UWB, radio signal based mostly applied sciences for which an ad-hoc infrastructure have to be designed, setup, calibrated and maintained for every specific venue. No receivers, no RFID tags, no antennas, no nodes, no magnetic stripes. Nothing must be deployed via the venue. You need just a camera and a computing unit onboard your cell automobiles. No tech expertise required, no troublesome instructions, no want for error-prone and time-consuming calibrations of advert-hoc UWB infrastructure. SLAM expertise is rather more sturdy to environmental modifications versus LiDAR, which struggles significantly to take care of accuracy in environments through which obstacles change over time. Dragonfly cameras are simpler to calibrate and are extra sturdy to changes within the environment. Dragonfly distributed structure makes the answer reliable by eliminating obligatory server that led to SPOF (single factors of failures).