Systems and methods for predicting the outcome of a state of a subject
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An object, segmentation feature technology, applied in reasoning methods, applications, veterinary instruments, etc., can solve problems such as practical obstacles in the monitoring process
Active Publication Date: 2015-09-23
AGRICAM
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[0004] In general, while monitoring livestock can be very useful to assist in herd management, the utility of the monitoring process can be hampered by the need to maintain unobscured and / or trouble-free viewing of objects for too long and / or the need to work in a cluttered environment and be done in an unobtrusive manner (i.e. without materially altering the environment, motion path, workflow, etc.)
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[0049] Specific embodiments of the present disclosure are described below with reference to the accompanying drawings; however, the disclosed embodiments are merely disclosed examples and may be embodied in various forms. Well-known functions or constructions are not described in detail to avoid obscuring the disclosure in unnecessary detail. Therefore, specific structural and functional details disclosed herein are not to be interpreted as limiting, but merely as a basis for the claims and as a basis for teaching one skilled in the art to variously employ the present invention in virtually any appropriately detailed structure. Open representative basis. Like reference numbers may indicate similar or identical elements throughout the description of the figures.
[0050] Cameras refer to, but are not limited to, digital cameras, visible light cameras, near-infrared reflection imaging cameras, infrared cameras, fluorescence imaging cameras, ultraviolet imaging cameras, thermal ...
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Abstract
Systems and methods for improving the health and wellbeing of subjects in an industrial setting are disclosed. The systems may include a camera arranged so as to observe one or more features of a subject, and a processor, coupled to the camera, the processor configured to analyze one or more images obtained therefrom, to extract one or more features from the image(s) of the subject, and to analyze one or more of the features, or sub features nested therein to predict an outcome of a state of the subject. In particular the system may be configured to generate a diagnostic signal (e.g. an outcome, fever, mastitis, virus, bacterial infection, rut, etc.) based upon the analysis.
Description
technical field [0001] The present disclosure relates to systems and methods for analyzing objects in a work environment. Furthermore, the present disclosure relates to systems and methods for analyzing the health and well-being of living things, such as livestock, without substantially affecting workflow, movement patterns in their vicinity, and the like. Background technique [0002] In industrial farming, the health and well-being of livestock (eg, cattle, fish, poultry, pigs, sheep, etc.) is important to maintaining the ongoing operations and sustainability of the organization (eg, farm, distribution chain, etc.). Of particular relevance are industrial establishments, food distribution networks, and farmers concerned with improved livestock management. An event, such as an outbreak of disease (eg, infection, mastitis, flu, etc.), can wipe out an entire herd and / or otherwise adversely affect milk production or product. For example, clinical and subclinical mastitis can ...
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