The present disclosure proposes an improved apparatus and method for counting of sea lice by providing a stable and controlled light environment which ensures counting of sea lice reliably and independent of weather conditions and an optimized spectral power distribution and intensity of the light for improved observation (detectability) of sea lice with respect to fish skin. An embodiment of the disclosed light system comprises multiple LEDs, at least two LEDs providing a light colour with peaks in the range 490-540 nm (Cyan/Green) respectively 620-660 nm (Red).

A computerized system of performing fish census which otherwise requires high level of domain knowledge and expertise is described. Divers with minimal knowledge of fish can obtain high quality population and species distribution measurements using a stereo camera rig and fish video analyzer software that was developed. The system has two major components: a camera rig and software for fish size, density and biomass estimation. The camera rig consists of a simple stand on which one to four pairs of stereo cameras are mounted to take videos of the benthic floor for a few minutes. The collected videos are uploaded to a server which performs stereo analysis and image recognition. The software produces video clips containing estimates of fish size, density and species biodiversity and a log report containing information about the individual fishes for further end user analysis.

A computerized system of performing fish census which otherwise requires high level of domain knowledge and expertise is described. Divers with minimal knowledge of fish can obtain high quality population and species distribution measurements using a stereo camera rig and fish video analyzer software that was developed. The system has two major components: a camera rig and software for fish size, density and biomass estimation. The camera rig consists of a simple stand on which one to four pairs of stereo cameras are mounted to take videos of the benthic floor for a few minutes. The collected videos are uploaded to a server which performs stereo analysis and image recognition. The software produces video clips containing estimates of fish size, density and species biodiversity and a log report containing information about the individual fishes for further end user analysis.

Animal sensing systems and methods are described. An animal sensing system can include an input section with an entrance and an output section having at least two output paths each having its own exit. An animal can enter the animal sensing system through the entrance. A sensor within a sensing area of the input section can detect one or more characteristics of the animal, and can communicate the detected characteristic(s) to a central processing unit. The central processing unit can use the received data to classify the animal based on the detected characteristic(s), and then control a directional guide, such as a gate, in the animal sensing system on the basis of the classification, so as to direct the animal within the animal sensing system, such as to allow access to only one of the output paths at a time. The animal may thus be allowed to exit the animal sensing system through only one output path, directing the animal to a desired location based on the classification.

There is described a scale for determining weight of one or more organisms contained in a sample. The scale generally has: a camera having a field of view orientable towards the sample and being configured for acquiring an image of the one or more organisms of the sample; a controller having a memory and a processor configured to perform the steps of: accessing the acquired image; using an organism detection engine being stored on the memory and being trained, detecting one or more organism representations in one or more corresponding portions of the accessed image and generating detection data concerning the one or more detected organism representations; and using an organism weight determination engine being stored on the memory and being trained, determining weight data concerning weight associated to the one or more detected organism representations based on the detection data.

There is described a scale for determining weight of one or more organisms contained in a sample. The scale generally has: a camera having a field of view orientable towards the sample and being configured for acquiring an image of the one or more organisms of the sample; a controller having a memory and a processor configured to perform the steps of: accessing the acquired image; using an organism detection engine being stored on the memory and being trained, detecting one or more organism representations in one or more corresponding portions of the accessed image and generating detection data concerning the one or more detected organism representations; and using an organism weight determination engine being stored on the memory and being trained, determining weight data concerning weight associated to the one or more detected organism representations based on the detection data.

A method for controlling a sensor subsystem, the method including receiving one or more metrics representing one or more characteristics of livestock, including one or more livestock objects, contained in an enclosure and monitored by one or more sensors coupled to a winch subsystem. The method further includes determining a position to move the one or more sensors based on the metrics and determining an instruction that includes information related to a movement of the one or more sensors. The method further includes sending the instruction to the winch subsystem to change the position of the one or more sensors.

The present disclosure relates to a system for managing and monitoring a sensor network that senses pest activity. A plurality of sensor stations may be controlled by the system, such sensor station configured for detecting the presence of pests at a baiting station, or for alerting users to the presence of a pest in a trap, as well as a related system of data collection and data management of pest activity data.

The present disclosure relates to a system for managing and monitoring a sensor network that senses pest activity. A plurality of sensor stations may be controlled by the system, such sensor station configured for detecting the presence of pests at a baiting station, or for alerting users to the presence of a pest in a trap, as well as a related system of data collection and data management of pest activity data.

A method for controlling a sensor subsystem, the method including receiving one or more metrics representing one or more characteristics of livestock, including one or more livestock objects, contained in an enclosure and monitored by one or more sensors coupled to a winch subsystem. The method further includes determining a position to move the one or more sensors based on the metrics and determining an instruction that includes information related to a movement of the one or more sensors. The method further includes sending the instruction to the winch subsystem to change the position of the one or more sensors.