WareVision: CNN Barcode Detection-Based UAV Trajectory Optimization for Autonomous Warehouse Stocktaking

Kalinov, Ivan; Petrovsky, Alexander; Ilin, Valeriy; Pristanskiy, Egor; Kurenkov, Mikhail; Ramzhaev, Vladimir; Idrisov, Ildar; Tsetserukou, Dzmitry

doi:10.1109/lra.2020.3010733

Cited by 59 publications

(40 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Kalinov et al [6] provides an insight into the use of drones in the internal warehouse as an inventory tool. In their work they focus on the use of barcodes.…”

Section: Su Et Almentioning

confidence: 99%

Investigation of UHF Signal Strength Propagation at Warehouse Management Applications Based on Drones and RFID Technology Utilization

et al. 2022

View full text Add to dashboard Cite

As a part of the supply chain, inventory management includes, among other things, maintaining the storage of stock, controlling the amount of product for sale and order fulfilment. In business terms, inventory management means the right stock, at the right levels, in the right place, at the right time. In the case of large outdoor warehouses, common identification methods are lengthy and inappropriate. One way to determine inventory easily and quickly is to deploy UAV’s (unmanned aerial vehicle) for product identification purposes. In this case, however, there is a problem in determining where the goods are located. A drone moves at higher altitudes, which can lead to a situation where we will not be able to determine the exact location of the goods. This article deals with a method of determining the correct flight level suitable to distinguish the identified items located at least 2 m apart. The evaluation is performed based on an RSSI (received signal strength indicator) value. The experiment proved that even at maximum reading distance of selected passive UHF RFID tags the two objects can be distinguished.

show abstract

“…Kalinov et al [6] provides an insight into the use of drones in the internal warehouse as an inventory tool. In their work they focus on the use of barcodes.…”

Section: Su Et Almentioning

confidence: 99%

Investigation of UHF Signal Strength Propagation at Warehouse Management Applications Based on Drones and RFID Technology Utilization

et al. 2022

View full text Add to dashboard Cite

show abstract

“…There are several mobile robots that use UV-C light for sanitizing. Such robots have been developed by TMiRob 3 , UVD Robots 4 , MIT 5 , and other companies 6 . They clean the air and all surfaces in the room that can be irradiated.…”

Section: A Related Workmentioning

confidence: 99%

“…Autonomous robotic systems have been gaining popularity in numerous fields of industry, and various tasks from stocktaking in warehouses [4], [5] and plant disease detection [6] to cleaning and sanitizing large areas. Different types of robots can clean the floor and clear recycle bins, disinfecting public spaces [7].…”

Section: Introductionmentioning

confidence: 99%

UltraBot: Autonomous Mobile Robot for Indoor UV-C Disinfection

Perminov

Mikhailovskiy

Sedunin

et al. 2021

2021 IEEE 17th International Conference on Automation Science and Engineering (CASE)

Self Cite

View full text Add to dashboard Cite

The paper focuses on the development of the autonomous robot UltraBot to reduce COVID-19 transmission and other harmful bacteria and viruses. The motivation behind the research is to develop such a robot that is capable of performing disinfection tasks without the use of harmful sprays and chemicals that can leave residues, require airing the room afterward for a long time, and can cause the corrosion of the metal structures. UltraBot technology has the potential to offer the most optimal autonomous disinfection performance along with taking care of people, keeping them from getting under UV-C radiation. The paper highlights UltraBot's mechanical and electrical structures as well as low-level and high-level control systems. The conducted experiments demonstrate the effectiveness of the robot localization module and optimal trajectories for UV-C disinfection. The results of UV-C disinfection performance revealed a decrease of the total bacterial count (TBC) by 94% on the distance of 2.8 meters from the robot after 10 minutes of UV-C irradiation.

show abstract

“…Tiemann et al [4] utilized unmanned aerial vehicles (UAVs) for the fast and automated stocktaking in a mimicked warehouse based on QRcode detection. Kalinov et al [5] proposed the drone-based barcode scanning system for the on-board assets identification. Compared to vision-based solutions (QR code, barcode, etc.…”

Section: Introductionmentioning

confidence: 99%

“…1). 4) We have evaluated the proposed indoor drone-based UHF-RFID inventory management solution in a real large warehouse, which has been rarely reported in the literature according to the authors' best knowledge (barcode-based solution [5], and [6], [18] for outdoor storage positioning).…”

Section: Introductionmentioning

confidence: 99%

ReLoc 2.0: UHF-RFID Relative Localization for Drone-Based Inventory Management

Tanghe

Suanet³

et al. 2021

IEEE Trans. Instrum. Meas.

View full text Add to dashboard Cite

Radio frequency identification (RFID) technology attracts extensive attention for industrial applications, especially supply chain businesses and inventory management. In this paper, a passive RFID localization scheme based on unmanned aerial vehicle (UAV) or drones is established for inventory management in warehouses. In case of the major challenge of the on-board antenna tracking errors in practical scenarios, the state-of-the-art numerical methods rely on accurate antenna positions, such as synthetic aperture radar-based algorithms, which will introduce large positioning errors and become unreliable. To this end, we propose a new relative RFID localization method based on phase, received signal strength indicator (RSSI), and readability, which is little affected by antenna tracking errors. In the proposed method, the tagged items on the racks are located laterally through pinpointing the minimum of the unwrapped phases, which have been unwrapped based on the hybrid random forest model. RSSI differences and the read count of each patch antenna's beam are utilized to distinguish the rack level of tagged assets via a boosting tree classifier. The experimental results in a real warehouse show that the proposed method achieves 27.1-cm mean lateral positioning accuracy, and orders the tagged items horizontally and vertically with more than 96.7% and 98.0% accuracy, respectively.

show abstract

WareVision: CNN Barcode Detection-Based UAV Trajectory Optimization for Autonomous Warehouse Stocktaking

Cited by 59 publications

References 21 publications

Investigation of UHF Signal Strength Propagation at Warehouse Management Applications Based on Drones and RFID Technology Utilization

Investigation of UHF Signal Strength Propagation at Warehouse Management Applications Based on Drones and RFID Technology Utilization

UltraBot: Autonomous Mobile Robot for Indoor UV-C Disinfection

ReLoc 2.0: UHF-RFID Relative Localization for Drone-Based Inventory Management

Contact Info

Product

Resources

About