Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating personalized exosuits. In some implementations, sensor data indicating a three-dimensional shape of stretchable template garment while the template garment is worn by a person and has been stretched to align with the person's anatomy is obtained. The template garment can include indicators corresponding to positions for components of an exosuit, and can correspond to an exosuit design. The sensor data is analyzed to determine locations of the indicators of the template garment. A personalized exosuit design is generated for the person by adjusting a computer model for the exosuit design to locate components of the exosuit at regions corresponding to the identified locations of the indicators of the template garment. The personalized exosuit design is provided to one or more manufacturing devices.

High intensity multi-directional FDM 3D printing method for stereo vision monitoring involves intelligent control and computer vision technology. Specifically, it involves multi-directional 3D printing hardware platform construction, stereo vision detection, laser heating to enhance the connection strength between various parts of the model, so as to reduce the use of external support structure as much as possible on the premise of ensuring the printing accuracy, and make the various parts of the model can be well connected to enhance the integrity of the model.

A method of extracting data embedded in a 3D object includes a 3D scanning device scanning a 3D object and extracting data embedded as physical representations in the 3D object. A processing device will identify, from the extracted data, instructions for causing the processing device to perform an action such as identifying building instructions for printing a copy of the 3D object. The processing device will also perform the action to identify the building instructions, and cause a 3D printer to use the building instructions to print the copy of the 3D object. The processing device may be part of the 3D scanning device or part of another device or system that is in communication with the 3D scanning device.

In various embodiments, a scanner optimizer system may generate a virtual model of a predicted flitch based on a 3D model of a log/cant and a cut solution for the log/cant. The scanner optimizer system may compare a virtual model of an actual flitch to virtual models of predicted flitches by comparing data points at a fixed elevation relative to one or both faces of the models. Based on the comparisons, the scanner optimizer system may identify the source log from which the actual flitch was cut. In addition, the scanner optimizer system may identify the saw used to cut the actual flitch, and/or other relevant information, and use the additional information to monitor and adjust the saws and other equipment. Embodiments of corresponding apparatuses and methods are also described.

A substrate processing apparatus includes a process station for processing a substrate; a cassette station integrated with the process station; a substrate carriage equipped for transferring the substrate between said process station and the cassette station through a passage located at an interface between the process station and said cassette station; and a substrate scanner equipped at said interface between the process station and the cassette station for capturing surface image data during transportation of the substrate that passes through the passage.

Disclosed is 3D scanning using a 3D scanner configured for detecting when the scanned object is at rest in the scan volume of the 3D scanner.

In various embodiments, a scanner optimizer system may generate a virtual model of a predicted flitch based on a 3D model of a log/cant and a cut solution for the log/cant. The scanner optimizer system may compare a virtual model of an actual flitch to virtual models of predicted flitches by comparing data points at a fixed elevation relative to one or both faces of the models. Based on the comparisons, the scanner optimizer system may identify the source log from which the actual flitch was cut. In addition, the scanner optimizer system may identify the saw used to cut the actual flitch, and/or other relevant information, and use the additional information to monitor and adjust the saws and other equipment. Embodiments of corresponding apparatuses and methods are also described.

A system (100) for cutting work product (104) into portions (P) and unloading the portions includes a conveyance system (102) for carrying the workpieces and portions, as well as a scanner (110) for scanning the work products. A cutter system (120) composed of cutter assemblies (122) carried by carrier systems (124) may be arranged in an array or series along the conveyance system for cutting, trimming, and portioning the work products (104) into end pieces (P) of desired sizes or other physical parameters. An unloading system (130) composed of one or more unloading assemblies/units/apparatus (132) are carried by the same carrier systems (124) used to carry the cutter assemblies (122) to pick up the portioned pieces (P) and either move them to a different location or replace the portioned workpieces back onto the conveyance system after the trim of the workpiece has been removed.

A system is placed upon a target object and a machining tool. The system comprises a variety of sensors to detect adverse relative movement and position loss of the target object as it is affected by the machining tool. The system further comprises portable sensors in communication with a printed control board, configured to communicate position data to a remote computing device. The remote computing device may receive the position data, process it, and present output to a display. The system may detect position, kinematic, and mechanical issues present during the machining process by comparing the position data to thresholds, including position loss, and automatically adjust the operation of the machining tool in response.

A method includes: scanning a first QR code on a first physical object to obtain first parameters, wherein the first parameters include specifications for making a product using a manufacturing process, and the specifications include at least one material used to build the product. The method further includes scanning a second QR code on a second physical object to obtain second parameters, wherein the second parameters correspond to the manufacturing process; comparing, by a computing device, the first parameters and the second parameters; based on comparing the first parameters and the second parameters, determining whether the first object corresponds to the second object; and in response to determining that the first object corresponds to the second object, building the product using the at least one material.