Logistics and Supply Chain Multitech R&d Centre Limited

Hong Kong R&d Centre for Logistics and Supply Chain Management Enabling Technologies Limited

Ka Lun Fan

Chung Hang Leung

Yan Nei Law

Wing Leung Chow

King Sau Wong

Kin Keung Lee

Kin Sun Chan

Edward James Jackson

Lu Sze Wai

Yuan Li Yin

Wai Ming Edwin Cheung

A method for capturing and analyzing a motion of a user includes capturing a motion of a user represented by an RGB moving image and depth data, obtaining 2D skeletal data based on the RGB moving image, converting the 2D skeletal data to 3D skeletal data by mapping the 2D skeletal data with corresponding depth data, determining one or more key poses of the motion of the user based on a preset condition for each of the key poses, obtaining the one or more key poses of the motion of the user and segmenting a motion sequence by the key poses into segments, sampling each segment and aligning each segment with a corresponding segment of a set of standard key poses, and comparing trajectories obtained based on the aligned segments between the one or more key poses of the motion of the user and the set of standard key poses.

Device and method for capturing and analyzing a motion of a user

A method for material classification of an object. The method contains the steps of measuring, by a first light sensor, an intensity of a first light signal from an object; measuring, by a second light sensor, an intensity of a second light signal from the object; inputting features related to the intensity of the first light signal and features related to the intensity of the second light signal into a neural network; calculating by the neural network, for each of a plurality of possible classes of material, a probability of the object containing the material of the class; and determining a material of the object based on one of the plurality of possible classes of material that has a highest probability. Embodiments of the invention provide an automatic solution of material classification based on neural network, which achieves a high successful recognition rate of the material.

Method and system for material classification of an object

A baggage management system includes: a storage rack including a plurality of receptacles shaped and structured to retain one or more baggage items; a baggage transportation system including a plurality of automated guided vehicles (AGVs) configured to transport one or more baggage items between a pick up point, a drop off point, and the storage rack, each AGV including a a wireless communication unit and a controller configured to control movement of the specific AGV based on received control instructions; and a baggage administration server including a processor, a memory unit, and a wireless communication interface, and configured to receive a request to store or retrieve a baggage item from the storage rack, determine the position of the one or more AGVs, identify the one or more AGVs required to either store or retrieve a baggage item as defined in the request, and transmit control instructions to the AGVs.

Baggage management system and a method for baggage management

A tool that is either hand-guided, or machine-guided, for performing surface treatments, such as mopping, of overhead surfaces includes a head for carrying an agitator having a generally planar face that is applied against the overhead surface being treated in uses. A transmission transmits power from a drive motor to the agitator, and an interface on the head is provided for connection to a mounting device by which the head is oriented and guided.

Tool for treating overhead surfaces

An autonomous guided vehicle comprising a platform adapted to carry a load thereon in a working position; a plurality of suspension devices connected to the platform, each suspension device having a sensor and an actuator; and a plurality of wheels associated with the suspension devices; wherein a first wheel is associated with a first suspension device such that the sensor of the first suspension device is adapted to provide a signal when a relative position of the first wheel and the platform is altered.

Self leveling autonomous guided vehicle

An ultra-wideband-based system and method for detecting properties associated with a movable object in an environment such as an indoor environment. The method includes transmitting ultra-wideband radar signals to an environment, using an ultra-wideband transmitter, and receiving signals reflected from the environment as a result of the transmission of the first ultra-wideband radar signals using an ultra-wideband receiver. The method also includes processing the reflected signals and determining properties associated with a movable object in an environment based on the processed reflected signals, using the processor.

Ultra-wideband-based system and method for detecting properties associated with a movable object in an environment

An ultra-wideband-based object identification method and system includes: transmitting, using a transmitter, an ultra wideband signal to an object; receiving, using a receiver, a reflected signal from the object; and determining, using a processor, an identity of the object based on the received reflected signal.

Ultra-wideband-based object identification

A collision avoidance apparatus for use with an automated guided vehicle (AGV) includes: an object detection sensor assembly; a controller in electronic communication with the sensor assembly; the object detection sensor assembly configured to generate a detection signal to define a sensing region and receive a reflected detection signal; the controller configured to: process the reflected signal to detect presence of an object based on a parameter of the reflected signal, define a boundary within the sensing region, dynamically adjust the size and/or shape of the boundary, and determine if the detected object is located within the boundary.

Automated guide vehicle with a collision avoidance apparatus

A system for placing a label on an object comprising: a scanning module arranged to scan the object for a suitable label placement position based on predefined parameters associated with the label; a robotic controlled apparatus arranged to extract the label from a label substrate and move the label to be adjacent to the suitable label placement position; and, wherein the robotic controlled apparatus is further arranged to apply the label onto the suitable label placement position such that the label is adhere to the object.

System for placing a label on an object, a method thereof and an effector for a robotic system

An apparatus or system for reinforcement bar (rebar) joint recognition using artificial intelligence vision includes a rebar tying tool attached to a micro manipulator; and a macro manipulator for moving the position of the micro manipulator; wherein the macro manipulator is adapted to move the micro manipulator on a first plane; the micro manipulator is adapted to move the rebar tying tool on a second plane parallel to the first plane and at a first axis vertical to the second plane.

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Hong Kong, China

Ka Lun Fan