A material sorting system sorts materials utilizing a vision system that implements a machine learning system in order to identify or classify each of the materials, which are then sorted into separate groups based on such an identification or classification determining that the materials are composed of either wrought aluminum, extruded aluminum, or cast aluminum.

A system and method of inspecting a chicken piece comprising generating an image for the chicken piece, identifying a defect type, a defect location and an area of each defect on the chicken piece based on the image, and grading the chicken piece into one of a plurality of grades based on the defect type and the area.

The present disclosure provides methods and systems for autonomous data collection and system control of a material recovery facility (MRF). A control system receives data from set of sensors that reflect a status of the MRF. The control system determines an operating status of various MRF components (e.g., material handling units (MHUs), sensors, and/or other elements) and/or a composition of a waste stream being processed by the MRF. The control system controls MHU(s) based on the data to optimize the recovery and/or purity of recoverable materials from the waste stream. The control system may rearranging MHUs within the MRF and/or re-tasking individual MHUs to perform different handling functions. Machine learning (ML) and/or artificial intelligence (AI) mechanisms can be used to optimize the operation of the MRF in an autonomous fashion. Other aspects are also disclosed.

Devices, systems and methods for sorting and labeling food products are provided. Respective spectra of food products for a plurality of segments of a line are received at a controller from at least one line-scan dispersive spectrometer configured to acquire respective spectra of the food products for the plurality of segments of the line. The controller applies one or more machine learning algorithms to the respective spectra to classify the plurality of segments according to at least one of one or more food parameters. The controller controls one or more of a sorting device and a labeling device according to classifying the plurality of segments to cause the food products to be one or more of sorted and labeled according to the at least one of the one or more food parameters.

A textile recycling method receives textile-waste-to-be-recycled, sorts the waste to isolate cellulose-containing articles from non-cellulose-containing articles, and re-sizes at least some of the cellulose-containing articles to create feedstock. The feedstock is processed in a cellulose solvent reactor, which has at least one ionic liquid. The ionic liquid dissolves intermolecular cellulose bonds of the feedstock to create a spinning dope. Cellulose fibers dissolved in the cellulose-bearing spinning dope solution are extruded in a cellulose coagulation bath reservoir to reconstitute at least some of the cellulose fibers, and the reconstituted fibers are wet-spun to form a continuous cellulose thread that is commercially indistinguishable from virgin fiber thread. Synthetic fiber material is vacuum-extracted or mechanically extracted from the cellulose-bearing solution and recycled into a continuous synthetic thread. Original color of textile-waste-to-be-recycled can be retained or removed, and new color can be added.

The present invention relates to an inspection system for confirming whether a capsule is defective and, more particularly, a large quantity of capsules flowing in from the outside is randomly supplied to a moving part by means of a hopper part, the moving part transfers, to a discharge part by means of a plurality of rollers, the large quantity of capsules fed by means of the hopper part so that a controller can distinguish between the good-quality and defective capsules on the basis of an image captured by means of a vision part and discharge same, a gap is formed between the rollers so that the plurality of fed capsules are randomly loaded and horizontally aligned in the gap, and the vision part can capture still images of the rotating capsules that are horizontally aligned and loaded in the gap, while the rollers rotate/stop through a driving part according to the repeated going/stopping of the moving part.

The invention relates to the food industry. A method includes generating, via a server of a system, a selected order for processing by a control computer, as a result of which the necessary food base, which is located in a refrigerating unit, is sent to a first transport device where specific food ingredients are added in a prescribed manner, said ingredients being released from containers mounted above the first transport device. After this, the partially finished product is transferred to a second transport device, and, while moving along it, is baked to a finished condition in a baking unit. Then the baked product is transferred to a packaging sub-system which is connected to a sub-system for temporary storage and dispensing of the finished and packaged product.

A sorting-based garbage classification method and a sorting-based garbage classification device are provided. The method utilizes quantitative features of domestic garbage components and adopts bubble sort algorithm to build a sorting model to sort and classify domestic garbage. The method is more in line with technical requirements of downstream incineration, pyrolysis gasification and so on, and has the features of high fault tolerance rate and high operation efficiency, and is characterized by controllable environmental impact, flexible product form and high energy utilization efficiency in the operation process.

Embodiments described herein relate to hardware and software for waste item detection and recognition, along with an education or feedback system. Embodiments described herein use artificial intelligence, which embodies machine learning and computer vision, to detect waste items and generate feedback to nudge the user to dispose the waste items into appropriate receptacles while generating smart operational insights of a designated premise.

A laundry sorting and evaluation system includes a housing having an opening and defining a laundry path. First and second platforms are positioned within the housing, each operably connected to a motor. First and second cameras are respectively associated with the platforms and are configured to acquire at images of an item of laundry on each of the first and second platforms. A controller is configured to receive the images and produce an evaluation of a condition of the item of laundry based upon the received images.