Livestock monitoring system

Abstract

The embodiment of the invention provides a livestock monitoring system. The livestock monitoring system includes: a peripheral camera device, which is arranged at the periphery of the livestock captive region, and is used for collecting peripheral images of the livestock captive region; entrance and exit camera equipment, which is set at the entrance and exit of the livestock captive region for collecting images of the entrance and exit of the livestock captive region; an on-site camera device which is arranged inside the livestock captive region for collecting internal images of the livestockcaptive region; and a central monitoring device, which is used for determining whether there is an abnormality in the livestock captive region according to the peripheral images of the livestock captive region, the images of the entrance and exit or the internal images. By adopting the technical scheme of the present invention, real-time and effective monitoring of the livestock captive region can be performed, so that abnormal phenomena in the livestock captive region can be detected in a timely manner and the safety of livestock assets can be improved.

Description

technical field [0001] The embodiments of the present invention relate to the technical field of livestock breeding, in particular to a livestock monitoring system. Background technique [0002] With the continuous development of livestock breeding technology, the scale trend of the current livestock breeding industry is becoming more and more obvious. For large-scale farms, the most important issue is the safety of livestock assets. At present, most farms still adopt the traditional manual monitoring method, and the farmers inspect the farms regularly or irregularly to find and solve safety problems inside and outside the farms. [0003] However, the traditional manual monitoring method cannot detect non-safety factors in time, and cannot effectively guarantee the safety of livestock assets. In addition, for farms that have installed monitoring equipment such as cameras, the safety judgment is mainly made by the farmers based on the images or videos monitored by the monito...

AI Technical Summary

Problems solved by technology

Because the breeding staff may ignore the individual information in the image or video and fail to detect non-safety factors in time, resulting in the

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