There is provided a computer implemented method comprising obtaining image data representing a platform, processing the image data using an algorithm, the algorithm configured to determine a property of the platform, obtaining, from the algorithm, data indicating a property of the platform and determining, based on the data indicating the property of the platform, a location to which the platform is to be transported.

A method is disclosed for sorting a plurality of objects including an object that is one of a grain, a nut, a tree nut, or a bean. The plurality objects are conveyed along a guide plate having at least two channels between a first end and a second end of the corresponding channel. The channels have a first aperture provided at a first longitudinal position thereof and an additional aperture provided at a second longitudinal position on the guide plate located downstream of the first aperture. An optical measurement associated with a property of the object of the plurality of objects is conducted when the object passes the first aperture towards the second end with an object measurement unit. The object conveyed on the corresponding channel is ejected with an ejector unit when reaching the second longitudinal position based on the measured property of the object and a timing signal.

The invention relates to a method and a device for determining at least one mechanical property of at least one object, wherein the at least one object is subjected to at least one interaction which influences a movement state of the at least one object, wherein the at least one interaction is selected such that the movement state effectuated by the interaction is a function of the at least one mechanical property, wherein the at least one object is observed using at least one camera, wherein the movement state is determined from images recorded by the at least one camera and wherein the at least one mechanical property of the at least one object is determined from the movement state thus determined.

A system classifies materials utilizing a vision system that implements an artificial intelligence system in order to identify or classify and then remove automotive airbag modules from a scrap stream, which may have been produced from a shredding of end-of-life vehicles. The sorting process may be designed so that live airbag modules are not activated, which may cause damage to equipment or persons.

A medicine sorting device includes: a discrimination part for discriminating a type of a medicine based on an image captured by a first camera; and a conveyance/sorting unit for sorting, by each type, a plurality of types of medicines accommodated in a mixed state in a first accommodating part based on a discrimination result of the discrimination part, and storing the medicines in a second accommodating part.

A system for sorting seeds based on their resistance to a stress is disclosed. Batches of purified seeds sorted using the system are also disclosed.

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 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. The material sorting system can sort material pieces containing contaminants, such as copper from steel.

The present disclosure relates to the field of hub packaging technology, and specifically to an automatic hub labeling device and a production line. A conveying mechanism conveys a hub to a camera identification module to determine a hub model, a printer can print multiple models of bar code or two-dimensional code labels and can automatically print a bar code or two-dimensional code label according to the wheel model, and the bar code or two-dimensional code label can be automatically pasted to a specified position according to the wheel model, so that automatic identification of the wheel model, automatic printing of the label and automatic pasting of the label are achieved, personnel participation is reduced, the production efficiency is improved, and customer complaints are reduced.

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.