The present invention relates to a continuous on-board drying method for Antarctic krill and a continuous on-board processing method of shelled Antarctic krill. The drying method includes the following steps: 1) subjecting fishing materials to cleaning, sorting, and dewatering with a vibrating screen; 2) rapidly heating the krill to the temperature of up to 70 C. using infra-red rays; 3) hot-air drying; 4) impurity removal by vacuum; 5) cooling to obtain dried krill. The processing method includes the following steps: a) subjecting fishing materials to cleaning, sorting, and dewatering with a vibrating screen; b) rapidly heating the krill to the temperature of up to 70 C. using infra-red rays; c) hot-air drying; d) subjecting the dried krill to shelling treatment to separate shell from meat, to obtain shelled krill; e) impurity removal by vacuum to obtain shelled krill product. The methods in the present invention are highly efficient, energy saving, green and environmental protection, and the krill products have high quality and safety.

A shrimp peeling device includes a frame, a driving member, a first conveying wheel, a second conveying wheel, a conveying belt, a clamping frame, a cutting assembly, and a shell removing frame. The conveying belt is in transmission connection with the first conveying wheel and the second conveying wheel. The clamping frame is provided with a first pathway for the conveying belt to pass through. A processing opening is formed in the clamping frame. The cutting assembly is disposed at the processing opening. The shell removing frame is provided with a second pathway for the conveying belt to pass through, and the second pathway includes a limiting cavity and a narrowing cavity. The shell removing frame is provided with a discharge port. The conveying belt is upwards bent and folded in half to clamp and convey a shrimp.

Methods and systems using a vision system to process shrimp. The in-line or off-line vision system captures images of samples of shrimps. The processor produces a digital image of the shrimps in the samples. Shrimps exiting a peeler are imaged to determine the number of tail segments in or the percentage of full weight of each. The shrimps are classified by the number of intact segments, and quality, yield, and throughput computed from the classification results. The processor can control operational settings of the peeler based on the classification results. In a larger system including other shrimp-processing equipment besides the peeler, other points along the processing path can be imaged by camera or sensed by other sensors to determine processing quality and to make automatic operational adjustments to the equipment.

A shrimp processing system conveys raw peeled shrimps to an imaging chamber in which shrimp bits and shrimps with residual shell are detected and diverted from the stream of acceptable shrimps allowed to pass on to downstream processing. An ultraviolet (UV) light source in the imaging chamber is constantly on. A visual inspection system takes images of the passing stream of shrimp when a white-light source is turned on to illuminate an exposure region to detect bits, clumps of shrimps, and acceptable individual shrimps. The visual inspection system takes images of the passing stream when the white-light source is turned off and the exposure region is subjected only to ultraviolet radiation. The visual inspection system detects shrimps with residual shell in the UV images. Shrimp bits and shrimps with residual shell are diverted from the stream of shrimps by air jet nozzles to corresponding reject destinations.

Methods and systems using a vision system to process shrimp. The in-line or off-line vision system captures images of samples of shrimps. The processor produces a digital image of the shrimps in the samples. Shrimps exiting a peeler are imaged to determine the number of tail segments in or the percentage of full weight of each. The shrimps are classified by the number of intact segments, and quality, yield, and throughput computed from the classification results. The processor can control operational settings of the peeler based on the classification results. In a larger system including other shrimp-processing equipment besides the peeler, other points along the processing path can be imaged by camera or sensed by other sensors to determine processing quality and to make automatic operational adjustments to the equipment.

System and method for processing raw shrimp. A head-on shell-on shrimp is first back-slit to expose the vein. Next, the head and some or all of the vein is removed in a hydraulic deheader. The headless, back-slit shrimp is then peeled in a roller-type peeling machine to remove the shell and any residual vein and provide high-quality, peeled and deveined shrimp meat.

A shellfish meat extraction device that automates that process of extracting meat from shellfish parts, such as lobster claws, by using pressurized tubes to grip the parts and then bursts of pressure to effectively shoot the meat out of the part, after which the empty shell is discarded and the process repeated.

Shrimp processing apparatus to sever the mud veins of shrimp, along with methods for heading and mud vein severing are described herein. The shrimp processing apparatus may be provided in systems may include one or more processing stations configured to perform one or more of the following functions on each shrimp: measurement of individual shrimp, severing the mud vein of individual shrimp, and remove of pleopods of individual shrimp.

Disclosed herein is a system and method for processing crawfish, specifically peeling crawfish shells. The device comprises a meat extraction portion, further comprising a clamping subsystem, cutting subsystem, and extraction subsystem designed to extract the crawfish meat from the shell without human interference. In a preferred embodiment of the device, the device further comprises a head/tail separation portion designed to decapitate the crawfish without human interference. The device further incorporates a single-board computer comprising a machine-learning system and related image database designed for improved identification of the crawfish shell components by the device, resulting in greater accuracy in processing individual crawfish of varying sizes.

Shrimp processing apparatus to remove pleopods of individual shrimp, along with methods for removing pleopods of individual shrimp are described herein. The shrimp processing apparatus may be provided in systems may include one or more processing stations configured to perform one or more of the following functions on each shrimp individually: measurement of individual shrimp, heading of individual shrimp, peeling of individual shrimp, and severing the mud vein of individual shrimp.