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Animal snarling monitoring system and snarling state recognition method based on machine learning

A monitoring system, animal technology, applied in the field of animal howling monitoring system, to achieve the effects of reducing labor, expanding battery capacity, and saving manpower

Inactive Publication Date: 2018-05-25
南京国雅信息科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Therefore, the monitoring of animal howling should take into account the differences in animal species, age, individual, and movement status, which is difficult to fully achieve by traditional methods

Method used

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  • Animal snarling monitoring system and snarling state recognition method based on machine learning
  • Animal snarling monitoring system and snarling state recognition method based on machine learning
  • Animal snarling monitoring system and snarling state recognition method based on machine learning

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0057] The animal howling monitoring system in this embodiment includes a collection device for animal howling audio collection worn on an animal, and an intelligent terminal application for animal howling monitoring.

[0058] Such as figure 1 As shown, the collection device includes a howling audio collector and a strapping strap. Both sides of the howling audio collector are fixedly connected to a strapping strap with an adjustable length. The strapping strap is used to connect the collection device with The animal is fixed, the abdomen strap has a built-in battery pack, the collection device is embedded with a pressure sensor, a vibration sensor, and an audio sensor, and the pressure sensor, the vibration sensor and the audio sensor are arranged close to the animal's skin. The collection device can be connected by buckles at both ends of the strapping belt, or directly tied together, so as to be worn on the animal.

[0059] Such as figure 2 As shown, the collection device 1 inc...

Embodiment 2

[0069] In the second embodiment, on the basis of the first embodiment, a human-computer interaction module 26 is also provided in the smart terminal application. The human-computer interaction module 26 is connected to the collected data buffer module 22 and the status data buffer module 24.

[0070] The human-computer interaction module 26 is used to receive instructions provided by the user through interactive methods such as touch screen, keyboard and voice, and retrieve data from the collected data buffer module 22 and status data buffer module 24 according to the instructions, and then use the screen or voice, etc. Ways to show the retrieved data to the user.

Embodiment 3

[0072] In the third embodiment, on the basis of the first or second embodiment, the smart terminal application is further provided with a state data transmission module 25. The status data transmission module 25 is connected to the local status data buffer module 24 and the remote intelligent monitoring system 3.

[0073] The state data transmission module 25 connects the smart terminal application 2 to the smart monitoring system 3 through the Internet, TD-SCDMA or WCDMA and other remote communication networks, and is used to upload the animal body temperature status information to the smart monitoring system 3 as a history Data is ready for query or for more in-depth intelligent analysis.

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Abstract

The invention discloses an animal snarling monitoring system and a snarling state recognition method based on machine learning. The animal snarling monitoring system comprises an acquisition device and an intelligent terminal application, and the acquisition device acquires contact pressure, vocal cord state and snarling information of monitored animals and judges whether effective contact occursor not according to the magnitude of the contact pressure; the intelligent terminal application receives effective animal data of the acquisition device and recognizes the effective animal data into the animal snarling state. By means of the recognition method, the normal snarling state of monitored animals in different motion states can be obtained through learning, and based on the learnt information, the snarling state of the animals can be recognized. By means of the system, animal snarling can be automatically detected and remotely monitored in real time, manual detection or recording isnot needed, and a lot of manpower can be saved; by means of the method, the difference like the type, the age, the individual and the motion state of the animals can be eliminated, all monitored objects are truly customized, and the purpose of precisely and effectively detecting snarling is achieved.

Description

Technical field [0001] The invention relates to the field of animal health monitoring, in particular to an animal howling monitoring system and a howling state recognition method based on machine learning. Background technique [0002] Equipping an animal with a suitable wearable device can not only help the owner grasp the animal's movements anytime and anywhere, but also have a certain understanding of its physical condition. The howling of animals is an expression language. Howling monitoring is one of the important ways to evaluate the physical state of animals. The timeliness, accuracy and reliability of howling monitoring directly affect the monitoring of the physical state of animals, Rationalize management and care. [0003] Traditional animal howl detection uses a single sample point analysis, which is very inconvenient to track changes in animal state. At present, the measurement of animal body state is mainly done manually. The owner needs to manually observe the animal...

Claims

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Application Information

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IPC IPC(8): A01K29/00G01D21/02G10L17/26G06N3/08
CPCA01K29/005G01D21/02G06N3/08G10L17/26
Inventor 龚毅光阮峰张雅男胡永国
Owner 南京国雅信息科技有限公司
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