A system and method are disclosed for tracking animals, which may include production animals as well as pets. The system and method may comprise a tag system that is attached to an animal that generally has at least a near-field-communication (NFC) tag. The tag system comprises at least an NFC tag and a radio-frequency identification (RFID) tag. For NFC tags, such tags may be read with a portable computing device, such as a mobile telephone running NFC reader application software. The phone may communicate with a communications network and ultimately a computer server in order to relay information received from a respective electronic tag. The electronic tags may be fastened, embedded, or ingested by an animal. The electronic tags may be part of a mechanical coupling. Each mechanical coupling may comprise a different structure depending on the whether the tags are fastened to, embedded in, or ingested by the animal.

A method is described that comprises receiving a filtered signal corresponding to an acoustic event, applying one or more tests to the filtered signal in a sequence, wherein each test of the one or more tests assesses the filtered signal for the presence of one or more characteristics, the determining the presence of the one or more characteristics comprising a failure to identify the acoustic event as a first event, terminating the applying the one or more tests when a test determines the presence of the one or more characteristics, and identifying the acoustic event as the first event upon an occurrence of completing all tests of the one or more tests, the completing all tests including each test in the sequence determining the absence of the one or more characteristics.

Disclosed is a measurement apparatus for measuring biometric information of a pet. The measurement apparatus comprises: a vital sensor configured to measure a vital sign of the pet and generate vital data indicating the vital sign; a motion sensor configured to measure movement of the pet and generate movement data indicating the movement; a memory configured to store the vital data and the movement data; a communication circuit configured to transmit the vital data and the movement data to an external apparatus; and a controller configured to control the measurement apparatus, wherein the controller controls an operation mode of the vital sensor to be any one of an active mode and an inactive mode, on the basis of the movement data measured by the motion sensor, and the vital sensor does not generate the vital data in the inactive mode.

An animal detecting device includes circuitry configured to: obtain one or more images; perform image processing on the one or more images, wherein the image processing includes detecting the presence of an animal in one of the one or more images, produce, when the presence of an animal is detected, image representation data associated with the one or more images according to a result of the image processing; and send, in the event of a predetermined condition being met, the image representation data to another device over a communication link.

Devices, systems, and methods for monitoring livestock can include a mobile platform arranged to present the user with an optimal breeding period based on mount activity of the livestock assets. Monitoring optimal breeding periods can increase likelihood of healthy breeding, including through real-time information.

Embodiments of the present disclosure can provide an automated mass rearing system for insect larvae. The automated mass rearing system can facilitate hatching, feeding, monitoring the growth and emergence of insect larvae and pupae. In some embodiments, the automated mass rearing system can include a production unit, a transportation unit, a storage unit, a dispensing unit, and a monitoring unit. In some embodiments, this automated mass rearing system can facilitate mass mosquito growth from egg hatching all the way through to full adults or certain stages in between such as the larvae rearing process (i.e., from larvae to pupae) with little or no human intervention. By automating the rearing and transportation of insect eggs, larvae, and pupae, deaths or developmental issues can be minimized. Various techniques and apparatuses are used in this automation that causes minimal disturbance to the insects during development, and thereby maximizing survival rate and fitness of the insects.

An apparatus for raising livestock includes one or more confinement pens together with alleyways for transfer of the animals from one location to another. The apparatus includes one or more cameras for obtaining images of all animals in the containment area. A processor is provided for analyzing the images, the processor being arranged to allocate an arbitrary identification to each animal and to track all animals continually to maintain the allocation. From this tracking various data related to individual animals or the animals as a group can be obtained to assess their characteristics and to provide an indication to the worker of the animal to be extracted. The processor can be arranged to detect by image analysis of the image a quantity of feed and/or water in a feeder and to obtain images of the farrowing pen including the sow confinement area and at least one piglet confinement area.

A computer-implemented method of systematically controlling and managing a production cycle of a livestock farm housing a population of animals, the method comprising (a) obtaining real-time data by a plurality of, sensors and/or manual or machine-based measurement and evaluation devices, including a set of farm condition parameters, (b) establishing statistical correlations of animal status parameters and process parameters with the animal performance parameters; (c) calculating and automatically adjusting, depending on the farm condition parameters obtained in (a) and on the statistical correlations identified in (b), a set of data set points for farm operating parameters such that at least one of a selected one of the animal performance parameters is optimized; and (d) repeatedly conducting (a) to (c) until finishing the production cycle. A system for systematically controlling and managing a production cycle of a livestock farm housing a population of animals.

An intelligent dog collar for monitoring physiological parameters of a dog, comprising: a movement sensor unit comprising an accelerometer and/or a gyrometer, wherein the movement sensor unit is configured to detect raw movement signals of the dog collar, a storage module storing a trained neural network, the neural network being configured to determine a physiologic information into raw movement signals detected by the movement sensor unit, a processing unit connected to the movement sensor unit and configured to operate the trained neural network, a memory configured to store the identified physiologic information, an interface for transmitting to a communication device the identified physiologic information.

A system configured to receive video and/or images from an image capture device over a livestock path, generate feature maps from an image of the video by applying at least a first convolutional neural network, slide a window across the feature maps to obtain a plurality of anchor shapes, determine if each anchor shape contains an object to generate a plurality of regions of interest, each of the plurality of regions of interest being a non-rectangular, polygonal shape, extract feature maps from each region of interest, classify objects in each region of interest, in parallel with classification, predict segmentation masks on at least a subset of the regions of interest in a pixel-to-pixel manner, identify individual animals within the objects based on classifications and the segmentation masks, and count individual animals based on identification, and provide the count to a digital device for display, processing, and/or reporting.