A food article defect removal apparatus includes a manifold that defines one or more chambers for holding pressurized fluid. First channels extend from a first side of the manifold into fluid communication with the chambers. Second channels extend from the first side of the manifold to a second side of the manifold. Valves selectively connect corresponding first channels and second channels together to dispense the pressurized fluid from the manifold. The manifold can have an exterior wall that at least partially defines a first chamber and a second chamber, with an interior wall disposed between the first chamber and the second chamber. The interior wall can define the second channels. The valves can be included with a valve assembly, which includes a driver operably coupled with the valves. The valves can be pluggably coupled with the driver.

A system and a method of sorting scrap particles includes imaging a moving conveyor containing scrap particles using a vision system to create an image. A computer analyzes the image as a matrix of cells, identifies cells in the matrix containing a particle, and calculates a color input for the particle from a color model by determining color components for each cell associated with the particle. A light beam is directed to the particle on the conveyor downstream of the vision system, and at least one emitted band of light from the particle is isolated and detected at a selected frequency band to provide spectral data for the particle. The computer generates a vector for the particle containing the color input and the spectral data, and classifies the particle into one of at least two classifications of a material as a function of the vector.

Bulk sorting using a bulk sorting machine that comprises a conveying means (7), an exciter (5) for generating a separating force, a splitter (1) with a blade, and a sensor (2) that senses the particles hitting the blade. The signal generated by the sensor (2) is used to optimize the result of the separation process.

Chopped fiber composite systems and methods are disclosed. Sorting systems include a conveyor, an imager, a plurality of receptacles, a pneumatic device, and controller. Molding systems include a conveyor, an imager, a mold, a pneumatic device, and a controller. The controller directs the pneumatic device to alter the freefall of chopped fiber composite pieces based on characteristics of the chopped fiber composite pieces as they drop from the conveyor and into a receptacle or a mold. Sorting and molding methods include dropping chopped fiber composite pieces, detecting characteristics of the dropping pieces, and directing the pieces based on the detected characteristics.

A system for sorting objects is provided. For instance, the system includes a first and second sensor for observing the objects before and after sorting and a controller having an action agent module and a learning agent module. The controller updates, by the learning agent module, a policy matrix after sorting previously sorted objects. The policy matrix includes state data of the previously sorted objects including sensor data, an action performed by the sorting actuator, and a sorting score. The controller actuates the sorting actuator, calculates a specific sorting score based on a specific action performed by the sorting actuator, and updates the policy matrix to create an updated policy matrix including updated sorting rules. The updated policy matrix is used in sorting subsequent objects. In another example, the controller loads a policy matrix that was determined incrementally during sorting of previously sorted objects.

A system has a conveyor for carrying at least two categories of scrap particles positioned at random on a surface of the conveyor, with at least some of the particles comprising metal. The system has a sensor array with a series of analog inductive proximity sensors arranged transversely across the conveyor. An active sensing end face of each sensor lies in a sensing plane, and the sensing plane is generally parallel with the surface of the conveyor. A control system of is configured to sample and quantize analog signals from the series of sensors in the array, and locate and classify a scrap particle on the conveyor passing over the array into one of at least two categories of material based on the quantized signals. A method for sorting the particles is also provided.

The teachings herein relate to an inspection apparatus for visual inspection of elastic particles and to methods of inspecting elastic particles. The inspection apparatus employs at least one flap for stopping or reducing a horizontal portion of the movement of particles leaving a conveyer belt. Preferably the flap dissipates a part of the kinetic energy of the elastic particles and/or reducing a horizontal rebound of the elastic particles. The teachings herein may be employed in a method with improved accuracy of sorting elastic particles.

Provided is a method for processing electronic and electrical device component scrap, which can improve an efficiency of sorting of raw materials fed to the smelting step from electronic and electrical device component scrap, and reduce losses of valuable metals. A method for processing electronic and electrical device component scrap which includes removing powdery objects contained in electronic and electrical device component scrap prior to a step of separating non-metal objects or metal objects from the electronic and electrical device component scrap containing the metal objects and the non-metal objects, using a metal sorter including: a metal sensor, a color camera, an air valve, and a conveyor.

A method for detecting mentholated tobacco, comprising irradiating tobacco containing menthol and a fluorescent taggant with radiation and observing the tobacco for fluorescence from the taggant. A system and method for detecting and separating mentholated tobacco from non-mentholated tobacco within a product stream is also provided.

A system for sorting objects is provided. For instance, the system includes a first and second sensor for observing the objects before and after sorting and a controller having an action agent module and a learning agent module. The controller updates, by the learning agent module, a policy matrix after sorting previously sorted objects. The policy matrix includes state data of the previously sorted objects including sensor data, an action performed by the sorting actuator, and a sorting score. The controller actuates the sorting actuator, calculates a specific sorting score based on a specific action performed by the sorting actuator, and updates the policy matrix to create an updated policy matrix including updated sorting rules. The updated policy matrix is used in sorting subsequent objects. In another example, the controller loads a policy matrix that was determined incrementally during sorting of previously sorted objects.