A method for livestock identity non-intervention automatic registration and identification
An automatic registration and livestock technology, applied in the field of identification, can solve the problems of uncontrollable livestock behavior, difficult to complete benchmark data and comparison data collection, etc., to achieve the effect of ensuring data cleanliness, frequent feature changes, and transforming basic science
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Embodiment 1
[0047] A method for automatically registering and identifying livestock identities without intervention, comprising the following steps:
[0048] Step 1, select the positioning device: select the corresponding positioning device according to the habits of the livestock, locate the livestock, and avoid uncontrollable animal behavior;
[0049] Step 2, identity registration and identification: Continuously collect facial feature images and sign images of livestock, extract features from the collected facial feature images and sign images, and match them with the features stored in the feature database. If the matching is successful, the identity recognition will be realized. If the matching is not successful Perform identity registration.
[0050] The positioning device mentioned here is a device used to limit the posture of the animal's head according to the drinking, eating, estrus, sleeping, mating, and defecation habits of the animal. The animal's habits can be arbitrarily se...
Embodiment 2
[0063] This embodiment serves as a specific application device of Embodiment 1.
[0064] see Figure 1~4 , a device for non-intervention identification and weight measurement of livestock, including a positioning device 2 set according to animal habits, and also includes an identity recognition camera device 3 using facial recognition and a body weight measurement camera device 4 for back feature recognition.
[0065] The facial recognition mentioned here refers to technologies such as face recognition, iris recognition, and retinal recognition. The back feature recognition mentioned here refers to back texture recognition, back contour recognition, and back key feature recognition.
[0066] The positioning device 2, the identity recognition camera device 3 and the body weight measurement camera device 4 can be arranged according to the use environment, see Figure 4 For example, the positioning device 2 and the identity recognition camera 3 are set at a place where the lives...
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