Abstract: A self-checkout device is disclosed. The self-checkout device comprises a detection plate adapted to allow placement of product(s) thereon, and one or more cameras positioned to have a Field-of-View encompassing the detection plate, the one or more cameras configured to provide a video footage. The self-checkout device further comprises a motion detection module configured to detect presence of motion in the video footage; a sequence selection module configured to select a sequence of video frames over a time interval corresponding to the detection of the presence of motion in the video footage; an appearance interpretation module configured to register one or more products present in the sequence of video frames; a billing module configured to fetch prices of the registered one or more products, generate a total bill based on the fetched prices, and process a payment for the total bill; and a controller module facilitating communications therebetween.

Abstract: The present disclosure relates to a method for adjusting a position of an order taking device in a drive-through facility. The method includes detecting a stopped vehicle in the drive-through facility, determining a location of a user in the stopped vehicle based on a class and a location of the stopped vehicle, enabling the order taking device to move towards the user location, detecting a human face in a video frame received from a video camera mounted on the order taking device, and enabling the order taking device, to move towards a location of the detected human face.

Abstract: The present disclosure relates to a method of displaying visual information to a user that includes tracking a location of the user within a pre-defined region, determining a current display screen from a plurality of display screens installed in the pre-defined region, based on current user location, determining a current display position on the current display screen based on the current user location, wherein the current display position is at a pre-defined distance from the current user location, and displaying the visual information on the current display position.

Abstract: The present disclosure relates to a method of displaying visual information to a user that includes tracking a location of the user within a pre-defined region, determining a current display screen from a plurality of display screens installed in the pre-defined region, based on current user location, determining a current display position on the current display screen based on the current user location, wherein the current display position is at a pre-defined distance from the current user location, and displaying the visual information on the current display position.

Abstract: A system for performing automated auditing of goods includes an audit robot that includes a rotatable platform, and an overhead camera, a multi-tracking camera system, an audit controller configured to receive and process the one or more images to detect a delivery personnel and corresponding pallet of goods when the delivery personnel enters the warehousing environment, generate an alert to instruct the delivery personnel to keep the pallet on the platform of the audit robot, trigger the rotatable platform to rotate when the pallet is kept, trigger the overhead sensor and the multi-tracking camera system to generate image data of the pallet, while the platform is being rotated, process at least one of: image data, scanning data, order and supplier information, historical information, time, and identity of the delivery personnel to assess a risk level of the pallet, and automatically check-in the pallet when risk level is assessed as zero.

Abstract: A system for performing smart auditing of a picking sub-process of an order fulfilment process in a warehousing environment includes a set of cameras arranged to capture videos of the picking sub-process in real-time, and an Artificial Intelligence (AI) based processor communicatively coupled to the set of cameras. The AI based processor includes an input component for receiving and processing the captured videos to generate a processed video, and a processing component including an order process data analysis component for analysing the processed video to detect order process specific deviations, and a historical data analysis component for analysing the processed video based on historical behavioural data of corresponding order picker. The AI based processor further includes a triggering component for triggering a quality process correcting event for one or more pallets based on the analysis performed by the processing component.

Abstract: An aerial navigation system comprises upright members mounted with anchor points at a substantially same height. Each anchor point is provided with an electric motor. A carrier device is coupled to the electric motors at corresponding ones of the anchor points using a set of first wires. The carrier device is operably moved by the electric motors in a horizontal plane co-planar with the anchor points. Further, a robotic device is suspended from the carrier device using a second wire. The robotic device is moveable within a volume defined between a ground surface, the plurality of upright members and the horizontal plane by at least one other electric motor mounted on the carrier device. Furthermore, a navigation control system synchronises operations of electric motors at the anchor points and the carrier device for moving the robotic device from a current location to a target location within the volume.

Abstract: An aerial navigation system comprises four anchor points mounted on top of four upright members respectively at substantially same height from a ground, a carrier device coupled to a first set of four electric motors mounted at the four anchor points through a set of first wires. The set of first wires, the four upright members and the ground effectively define a volume. The carrier device is moveable in a bounded horizontal plane defined by the four anchor points. A robotic device is suspended from the carrier device using a second wire and moves vertically relative to the carrier device through activation of a fifth electric motor. A control unit is coupled to the first set of four electric motors and the fifth electric motor for controlling the three-dimensional movement of the robotic device to permit navigation from a current location to a target location inside the defined volume.

Abstract: A customer engagement method comprises detecting a location and moving a suspended aerial robotic device to the customer's location, detecting one or more characterizing features of the customer and greeting the customer by the suspended aerial robotic device based on the detected characterizing features, presenting a menu of items to the customer and requesting the customer to identify items of interest receiving an order for identified items from the customer, retrieving the items corresponding to the placed order from a repository containing stock items, releasing the retrieved items to the suspended aerial robotic device, requesting touchless payment from the customer by the suspended aerial robotic device, and releasing the retrieved items by the suspended aerial robotic device to the customer on receipt of touchless payment by the customer.

Abstract: A system for performing smart auditing of a picking sub-process of an order fulfilment process in a warehousing environment includes a set of cameras arranged to capture videos of the picking sub-process in real-time, and an Artificial Intelligence (AI) based processor communicatively coupled to the set of cameras. The AI based processor includes an input component for receiving and processing the captured videos to generate a processed video, and a processing component including an order process data analysis component for analysing the processed video to detect order process specific deviations, and a historical data analysis component for analysing the processed video based on historical behavioural data of corresponding order picker. The AI based processor further includes a triggering component for triggering a quality process correcting event for one or more pallets based on the analysis performed by the processing component.

Abstract: A system for identifying a type of a user in a warehousing environment includes a plurality of Infra Red (IR) Light Emitting Diode (LED) devices provided to users in the warehousing environment, a plurality of cameras, and a user identification unit. The user identification unit includes a memory to store one or more instructions, and a processor communicatively coupled to the memory, and configured to receive an image frame captured by the plurality of cameras, detect one or more IR LED devices in the image frame based on signals emitted by the one or more IR LED devices, detect an IR LED group of each detected IR LED device based on a geometric configuration, a blinking frequency, and a color of LEDs of corresponding IR LED device, and determine a type of user of each IR LED device based on detected LED group of corresponding IR LED device.

Abstract: A system for performing automated auditing of goods includes an audit robot that includes a rotatable platform, and an overhead camera, a multi-tracking camera system, an audit controller configured to receive and process the one or more images to detect a delivery personnel and corresponding pallet of goods when the delivery personnel enters the warehousing environment, generate an alert to instruct the delivery personnel to keep the pallet on the platform of the audit robot, trigger the rotatable platform to rotate when the pallet is kept, trigger the overhead sensor and the multi-tracking camera system to generate image data of the pallet, while the platform is being rotated, process at least one of: image data, scanning data, order and supplier information, historical information, time, and identity of the delivery personnel to assess a risk level of the pallet, and automatically check-in the pallet when risk level is assessed as zero.