What's the ACCURACY OF DRAGONFLY? > 자유게시판

Dragonfly is Onit’s cutting-edge laptop imaginative and prescient indoor localization know-how based mostly on visible SLAM that provides correct indoor iTagPro smart device position and orientation to forklifts, automated guided vehicles (AGV), autonomous cell robots robots (AMR), robots, drones and any other shifting automobile and asset. Dragonfly enables RTLS solutions for analytics, productivity and iTagPro shop security in GPS-denied environments like warehouses, production plants, factories and so forth.. Dragonfly delivers the X-Y-Z coordinates and 3D orientation of any shifting system with centimeter-level accuracy, by analyzing in actual-time the video stream coming from a typical broad-angle digital camera related to a small computing unit. Dragonfly represents the state-of-the-art for indoor localization technologies at places the place GPS/GNSS can't be used and it is much more competitive compared to different indoor localization technologies primarily based on LiDAR, Ultra Wide Bandwidth, Wi-Fi, Bluetooth RSS. HOW DOES IT WORK? In the course of the system setup part the large-angle digital camera sends the video feed of its surroundings to the computing unit.

The computing unit takes care of extracting the options of the environment, in every of the frames, iTagPro smart device and making a 3D map of the setting (which is geo-referenced utilizing a DWG file of the area). During its utilization in production the vast-angle digital camera sends the true-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 compare them with these throughout the previously created 3D map of the surroundings. This course of permits Dragonfly to calculate at greater than 30 Hz the X-Y-Z place and orientation in the 3D area of the digital camera (and thus of the cellular asset on which it's mounted). Dragonfly is an accurate indoor location system based mostly on pc imaginative and iTagPro smart device prescient. The location is computed in actual time utilizing simply an on board camera and a computing unit on board of the machine to be tracked, because of our computer vision algorithm. Computer imaginative and prescient, odometry and artificial intelligence are used to create an accurate system, with a view to ship a precise location for iTagPro smart device a number of purposes.

It is a wonderful answer for the exact indoor tracking of forklifts, AGV, iTagPro smart device AMR, robots and iTagPro official drones (in the 3D area). Dragonfly is way more competitive than LiDAR, UWB, radio signal based mostly applied sciences for which an advert-hoc infrastructure should be designed, setup, calibrated and maintained for each particular venue. No receivers, no RFID tags, ItagPro no antennas, no nodes, ItagPro no magnetic stripes. Nothing must be deployed through the venue. You need just a digital camera and a computing unit onboard your cell automobiles. No tech expertise required, no difficult directions, no need for error-prone and time-consuming calibrations of ad-hoc UWB infrastructure. SLAM technology is way more robust to environmental changes versus LiDAR, which struggles considerably to keep up accuracy in environments wherein obstacles change over time. Dragonfly cameras are easier to calibrate and are more sturdy to modifications within the setting. Dragonfly distributed architecture makes the answer reliable by eliminating obligatory server that led to SPOF (single factors of failures).

This also implies that Dragonfly can develop following the scale and growth of your fleet of shifting autos. Dragonfly can work fully offline on a computing unit on board of forklift, AVG, iTagPro smart device AMR, drones, robots or on an on-premise server. Dragonfly lets you optimize your operations, increasing the productivity and effectiveness of the tracked devices. Along with this its competitive price, iTagPro bluetooth tracker makes the ROI greater than every other expertise presently in the marketplace. Enhance the operations thanks to a real-time visibility of the particular utilization and path of your cell autos (like forklifts) to avoid under/over utilization and maximize the performance of the fleet. Know in real-time the location of each moving asset to prevent accidents between human-guided cell autos (such as forklifts) inside warehouses and manufacturing services enabling thus V2V (car to automobile) and V2P (automobiles to pedestrians) purposes for collision-avoidance. Speed up the productivity by monitoring the location of every shifting asset to not directly know the position of each handling unit on the ground, racks and shelves.