Multi-chamber lighting controller for aquaculture
Methods, systems, and apparatus, including computer programs encoded on computer-storage media, for a lighting controller for sea lice detection. In some implementations, fish are contained within an elliptical tank filled with water. An imaging station located on the elliptical tank is used to capture an image of a fish from which image analysis can be performed to detect sea lice or other skin features, including lesions, on the fish. Pairs of imaging assemblies coordinate pulsing light of at least a first and a second color and capturing images of the fish while the fish is illuminated by at least the first and the second color. By using the captured images with different color light, computers can detect features on the body of a fish including sea lice, skin lesions, shortened operculum or other physical deformities and skin features. Detection results can aid in mitigation techniques or be stored for analytics. For example, sea lice detection results can inform targeted treatments comprised of lasers, fluids, or mechanical devices such as a brush or suction.
1. An apparatus comprising:
an imaging container attached to a fish enclosure, the imaging container arranged to allow for fish in the fish enclosure to swim against a current that is generated to flow through the imaging container, the imaging container comprising two or more fish imaging assemblies, each imaging assembly comprising:
a camera for generating images of fish that swim through the imaging container, and
a pair of lights including a light of a first color and a light of a second color each configured to illuminate the fish that swim through the imaging container; and
a control unit that synchronizes (i) generating a sequence of images using the camera in a first imaging assembly when the pair of lights in the first imaging assembly are not illuminated and when an alternating one of the pair of lights in a second imaging assembly is illuminated, and (ii) generating a sequence of images using the camera in the second imaging assembly when the pair of lights in the second imaging assembly are not illuminated and when an alternating one of the pair of lights in the first imaging assembly is illuminated.
2. The apparatus of claim 1 , wherein the first fish imaging assembly and the second fish imaging assembly of the two or more fish imaging assemblies are perpendicular to each other and are disposed on different sides of the imaging container.
3. The apparatus of claim 1 , wherein the control unit includes a machine learning model to inform controlling one or more lights of the first fish imaging assembly to activate the light of the first color during the exposure of the camera of the second fish imaging assembly.
4. The apparatus of claim 1 , wherein the apparatus is deployed in open water.
5. The apparatus of claim 1 , wherein the control unit obtains one or more images generated in the imaging container and processes the one or more images to determine whether the fish is likely affected by a particular condition.
6. The apparatus of claim 5 , wherein the control unit is configured to store the one or more images generated in the imaging container in an image buffer.
7. The apparatus of claim 5 , wherein the control unit is configured to access a machine learning model trained to determine whether the fish is likely affected by the particular condition.
8. The apparatus of claim 7 , wherein the machine learning model is trained to determine the particular condition, wherein the particular condition comprises one or more of a sea lice infection, an occurrence of a lesion, or a physical deformity.
9. The apparatus of claim 1 , wherein the pair of lights feature an alternating rate of light pulses greater than 60 Hz.
10. The apparatus of claim 1 , wherein the control unit is configured to:
generate an image of the fish swimming through the imaging container using the exposure of the camera.
11. The apparatus of claim 1 , wherein the fish enclosure includes straight and curved sections.
12. The apparatus of claim 1 , wherein the control unit is configured to access a machine learning model trained to generate control signals for illuminating one of the first color or the second color or controlling an exposure of one or more cameras.
13. The apparatus of claim 1 , wherein the control unit comprises a non-transitory, computer-readable medium storing one or more instructions executable by a computer system.
14. The apparatus of claim 13 , wherein the control unit is located at a remote location with respect to the imaging container.
15. The apparatus of claim 1 , wherein the control unit comprises:
one or more computers; and
one or more computer memory devices interoperably coupled with the one or more computers and having tangible, non-transitory, machine-readable media storing one or more instructions.
16. The apparatus of claim 1 , wherein the control unit further synchronizes the camera in the first image assembly to generate images during a time between the camera in the second image assembly generating consecutive pairs of images, and vice versa.