The device, system and process of the present invention greatly reduces the time and space necessary to assemble a wire harness enables efficient manufacture of wire harnesses and cable assemblies. The present invention comprises at least a wire or cable viewer module, a machine vision and optical character recognition module, one or more receptacles designed to receive and hold in place a wire harness or cable assembly connector, having multiple pin-hole cavities illuminated by a light source to identify a cavity for wire or cable insertion. Moreover, the present invention may further comprise a portable, computer-implemented system capable of executing a series of automated process steps designed to identify wire and cable markings and guide the error-free insertion of identified wires and cables into wire harness connector pin-hole receptacles for assembly of a wire harness or cable assembly.

A method for operating a monitoring unit (100), configured to monitor a manipulation of at least one object (40, 45) by a user, the method comprising: —receiving, via a cellular network (60), actual user position data comprising an actual position of at least one portion of user used to manipulate the at least one object, and actual object position data comprising an actual position of the at least one object, —matching the actual user position data to predefined user position data provided at the monitoring unit (100), the predefined user position data indicating a correct position of the at least one portion of the user for manipulating the at least one object, and matching the actual object position data to predefined object position data provided at the monitoring unit, the predefined object position data indicating a correct position of the at least one object, —determining, based on the matching, whether the manipulation of the at least one object by the at least one portion of the user is correct or not.

Aspects of the disclosed technology provide an Artificial Intelligence Process Control (AIPC) for automatically detecting errors in a manufacturing workflow of an assembly line process, and performing error mitigation through the update of instructions or guidance given to assembly operators at various stations. In some implementations, the disclosed technology utilizes one or more machine-learning models to perform error detection and/or propagate instructions/assembly modifications necessary to rectify detected errors or to improve the product of manufacture.

A system for cognitive assistance in aircraft assembly includes a system to monitor an aircraft assembly process and acquire physical and physiological data on a human worker performing assembly operations. A cognitive model of the human worker on a data-processing device is coupled to the monitoring system to receive acquired physical and physiological data of the human worker, the cognitive model configured to provide state information on the human worker and prognostic data on expected behavior of the human worker during the aircraft assembly process. The state information and the prognostic data are continuously updated during the aircraft assembly process. A system control is coupled to the monitoring system and the cognitive model to assess current state of the aircraft assembly process based on the monitored aircraft assembly process, the state information of the of the human worker and the prognostic data of the cognitive model.

A method, system and apparatus for a kitting and automation assembly. The system includes an inspection apparatus that captures information of a component. A controller is coupled to the inspection apparatus for receiving and evaluating the information to determine a conforming component. The assembly apparatus includes a datum tool that is operatively configured to contact a datum reference of a part to determine a proper position of the part. The method includes capturing a data set indicative of a characteristic of a component and comparing the data set to a stored data set having a desired characteristic to determine a conforming component. The method also includes picking and positioning the conforming component at an installation position, contacting a datum reference of a part with a datum tool to confirm a proper position, and placing the conforming component on to the part at the proper position.

A system for controlling a quality of a vehicle includes: a communication device that communicates with a plurality of terminals respectively located on vehicle product lines; and a controller that monitors the part assembly state of the worker, and displays an official assembly video of a defectively assembled part through a terminal on a product line where the worker is located when detecting the defective assembly of the worker.

A system includes a manual tool data system having a manual tool data monitoring system configured to monitor one or more manual tools, a manual tool data acquisition system configured to acquire data corresponding to one or more operational parameters of the one or more manual tools, a manual tool data analysis system configured to analyze the data acquired by the manual tool data acquisition system, and a manual tool messaging system configured to generate messages based on the data analyzed by the manual tool data analysis system.

Aspects of the disclosed technology provide an Artificial Intelligence Process Control (AIPC) for automatically detecting errors in a manufacturing workflow of an assembly line process, and performing error mitigation through the update of instructions or guidance given to assembly operators at various stations. In some implementations, the disclosed technology utilizes one or more machine-learning models to perform error detection and/or propagate instructions/assembly modifications necessary to rectify detected errors or to improve the product of manufacture.

Aspects of the disclosed technology provide a computational model that utilizes machine learning for detecting errors during a manual assembly process and determining a sequence of steps to complete the manual assembly process in order to mitigate the detected errors. In some implementations, the disclosed technology evaluates a target object at a step of an assembly process where an error is detected to a nominal object to obtain a comparison. Based on this comparison, a sequence of steps for completion of the assembly process of the target object is obtained. The assembly instructions for creating the target object are adjusted based on this sequence of steps.

A system for use in facilitating a manufacturing operation that includes a wireless beacon paired with each vehicle of multiple vehicles routable along a production line in a sequence. The wireless beacon emits a signal containing information that identifies the paired vehicle. A wireless transceiver is at a predetermined location along the production line, and the wireless transceiver scans for the signal. A server device is in communication with the wireless transceiver. The server device stores pairing data of which wireless beacon is paired with each vehicle, and sequence data of the vehicles routed along the production line, and receives, from the wireless transceiver, a signal containing the information that identifies the paired vehicle. The server device also verifies, based on the pairing data, the sequence data, and the information in the signal, that an order in which the vehicles enter the predetermined location corresponds to the sequence.