Systems and methods can enhance efficiencies of order fulfillment processes. For example, this document describes systems and methods for optimizing the efficiency of automated order sortation processing lines to expedite order processing in a cost-effective manner. In some embodiments, this innovation includes a fast, efficient method for supplying items to order sortation process lines so that they operate at peak efficiently, and the workers are utilized at a high level of efficiency.

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.

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.

A device for off-line detection of circumferential appearance quality of cigarettes includes a mechanical system, a vision system and a control system, where the mechanical system includes a hopper, a feed roller, an auto-rotating roller, an upper chute and a lower chute. A method for off-line detection of circumferential appearance quality of cigarettes by using the above device is further provided. The present disclosure can achieve detection without omission to obtain accurate and quantifiable detection results, and has high processing efficiency.

A device for off-line detection of circumferential appearance quality of cigarettes includes a mechanical system, a vision system and a control system, where the mechanical system includes a hopper, a feed roller, an auto-rotating roller, an upper chute and a lower chute. A method for off-line detection of circumferential appearance quality of cigarettes by using the above device is further provided. The present disclosure can achieve detection without omission to obtain accurate and quantifiable detection results, and has high processing efficiency.

The present disclosure relates to apparatus for carrying articles such as fruit for sorting, and in particular though not exclusively to apparatus for singulating the articles. There is provided a singulation apparatus for an article carrying system, the apparatus comprising a flume adapted to receive a plurality of articles at a first end; a fluid inlet associated with the first end and arranged in use to direct a fluid flow to carry the received articles along the flume to a second end; wherein a parameter of the fluid flow is controlled in order to singulate the received articles along the flume. A method for singulation is also disclosed.

The present disclosure relates to apparatus for carrying articles such as fruit for sorting, and in particular though not exclusively to apparatus for singulating the articles. There is provided a singulation apparatus for an article carrying system, the apparatus comprising a flume adapted to receive a plurality of articles at a first end; a fluid inlet associated with the first end and arranged in use to direct a fluid flow to carry the received articles along the flume to a second end; wherein a parameter of the fluid flow is controlled in order to singulate the received articles along the flume. A method for singulation is also disclosed.

An equipment for automatically feeding parcels to a sorting conveyor, the equipment having a platform for temporarily storing a pile of parcels arranged loosely, a first vision system designed to form a digital image of the loose pile of parcels while the pile is stationary on the platform, a processor unit having setting data for responding to the digital image by identifying a parcel for singulating that presents a grip face that is not covered by another parcel, and by supplying indicative data about the three-dimensional position, the orientation in three dimensions, and the dimensions of the grip face, and a pneumatic gripper head of a robotic arm that is controlled on the basis of the data so as to take hold of the parcel for singulating by its grip face.

A work cell and method for automatically separating objects disposed in 3D clusters includes dispensing the objects onto a horizontal conveying surface to form a 2D array, reforming the 2D array into a 1D stream in which the objects move in single-file in a predefined moving direction, utilizing a vision-based or other stationary sensing system to identify a selected target object in the 1D stream as the target object passes through an image capture (sensing) region, calculating trajectory data defining the target object's time-based position in the 1D stream, and then utilizing the trajectory data to control a robot arm or other object removal mechanism such that only the selected object is forcibly removed (e.g., swiped or picked-up) from the horizontal conveying surface. A continuous-loop-type conveying mechanism includes two parallel conveyor-belt-type conveying structures and associated belt-switching structures. An AI-powered vision system identifies new object shapes during preliminary learning phases.

A work cell and method for automatically separating objects disposed in 3D clusters includes dispensing the objects onto a horizontal conveying surface to form a 2D array, reforming the 2D array into a 1D stream in which the objects move in single-file in a predefined moving direction, utilizing a vision-based or other stationary sensing system to identify a selected target object in the 1D stream as the target object passes through an image capture (sensing) region, calculating trajectory data defining the target object's time-based position in the 1D stream, and then utilizing the trajectory data to control a robot arm or other object removal mechanism such that only the selected object is forcibly removed (e.g., swiped or picked-up) from the horizontal conveying surface. A continuous-loop-type conveying mechanism includes two parallel conveyor-belt-type conveying structures and associated belt-switching structures. An AI-powered vision system identifies new object shapes during preliminary learning phases.