WO2023226563A1 - Animal growth identification method and system - Google Patents

Animal growth identification method and system Download PDF

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Publication number
WO2023226563A1
WO2023226563A1 PCT/CN2023/082894 CN2023082894W WO2023226563A1 WO 2023226563 A1 WO2023226563 A1 WO 2023226563A1 CN 2023082894 W CN2023082894 W CN 2023082894W WO 2023226563 A1 WO2023226563 A1 WO 2023226563A1
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animal
volume
weight
module
control unit
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PCT/CN2023/082894
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French (fr)
Chinese (zh)
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魏志豪
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阿果明股份有限公司
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Publication of WO2023226563A1 publication Critical patent/WO2023226563A1/en

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    • A—HUMAN NECESSITIES
    • A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
    • A01K—ANIMAL HUSBANDRY; CARE OF BIRDS, FISHES, INSECTS; FISHING; REARING OR BREEDING ANIMALS, NOT OTHERWISE PROVIDED FOR; NEW BREEDS OF ANIMALS
    • A01K29/00—Other apparatus for animal husbandry
    • A—HUMAN NECESSITIES
    • A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
    • A01K—ANIMAL HUSBANDRY; CARE OF BIRDS, FISHES, INSECTS; FISHING; REARING OR BREEDING ANIMALS, NOT OTHERWISE PROVIDED FOR; NEW BREEDS OF ANIMALS
    • A01K45/00—Other aviculture appliances, e.g. devices for determining whether a bird is about to lay
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
    • G01B11/00—Measuring arrangements characterised by the use of optical techniques
    • G01B11/24—Measuring arrangements characterised by the use of optical techniques for measuring contours or curvatures
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/60—Analysis of geometric attributes
    • G06T7/62—Analysis of geometric attributes of area, perimeter, diameter or volume
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/40—Extraction of image or video features
    • G06V10/44—Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/50—Context or environment of the image
    • G06V20/52—Surveillance or monitoring of activities, e.g. for recognising suspicious objects
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands

Definitions

  • the present invention relates to an animal growth identification method and its system, and in particular, to a method and its system that can accurately estimate the harvesting time of farmed animals to effectively save feed costs.
  • Breeding animals such as chickens, pigs, and cattle are the main sources of meat and protein in people's diet. They not only have high nutritional value, but are also raw materials for many processed foods.
  • the weight monitoring of farmed animals in existing farms mainly relies on manual sampling and weighing of small numbers, or the use of fixed physical scales, allowing animals to jump on and weigh themselves.
  • the measurement method of weighing on the scale has too little measurement frequency and too little data, which can easily lead to inaccurate estimates of group weight distribution.
  • the feed cost of farmed animals generally accounts for more than 70% of the total operating costs. Therefore, the weight data of farmed animals is extremely important for farming operations. It can be used to calculate the optimal number of feed feeding days. In addition, weight distribution is also the main calculation basis for revenue. If the growth and harvest time of animals can be accurately estimated, it will help optimize feed costs and increase farmers' profits.
  • the present invention relates to an animal growth identification method and its system. Its main purpose is to provide a method and its system that can accurately predict the harvest time of farmed animals to effectively save feed costs.
  • animal growth identification method the implementation steps of which include:
  • the control unit then superimposes the stereoscopic visual outline and the thermal image outline of the animal to obtain the corrected outline of the animal;
  • D. Calculate the volume of the animal continue to make the control unit measure the edge of the correction contour to obtain the depth and bottom area of the edge of the correction contour, and then calculate the volume of the animal;
  • the control unit will identify various condition factors of the animal and output the volume and weight conversion ratio that meets the condition factors;
  • the control unit then substitutes the obtained volume of the animal into the volume-to-weight conversion ratio to calculate the weight of the animal;
  • G Statistics of the total weight of animals: Then the control unit calculates the weights of multiple animals within the preset range of the breeding area captured by the photography unit one by one, and then adds up the weights of the multiple animals, and The weight statistical result is displayed on a display unit.
  • the animal growth identification method further includes an abnormality warning step, which enables the control unit to compare the thermal image of the animal with the normal body temperature of the animal to determine whether the animal Sick or dead, if the animal is judged to be sick or dead, an abnormal warning message will be displayed on the display unit.
  • an abnormality warning step which enables the control unit to compare the thermal image of the animal with the normal body temperature of the animal to determine whether the animal Sick or dead, if the animal is judged to be sick or dead, an abnormal warning message will be displayed on the display unit.
  • condition factors of the animal identified by the control unit include at least one of the animal's species, growth stage and growth season.
  • the inventor further developed the following animal growth identification system, which mainly includes a fixed unit, which is installed in a breeding area, and at least one photography unit is installed on the fixed unit, and at least two photography units are installed in the photography unit.
  • a three-dimensional imaging lens and at least one thermal imaging lens also include a control unit for signal connection with the photography unit, and an animal growth recognition artificial intelligence program is built into the control unit, and the animal growth recognition artificial intelligence program includes an A three-dimensional image contour building module, a thermal image contour building module, a contour correction module, a volume calculation module, a volume-to-weight conversion ratio module, a weight calculation module and a weight statistics module to connect the animal growth recognition module to the control unit
  • Each module of the artificial intelligence program operates.
  • the photography unit captures the farmed animals within a preset range of the breeding area, and transmits the captured stereoscopic visual image and thermal image to the control unit.
  • the three-dimensional image outline constructs the stereoscopic vision outline of one of the animals in the stereoscopic vision image frame, and the thermal image outline construction module constructs the thermal image outline of the one animal in the thermal image frame, and the outline correction module constructs the thermal image outline of the animal in the thermal image frame.
  • the animal's stereoscopic vision outline and the thermal image outline are superimposed correspondingly to obtain the corrected outline of the animal, and the volume calculation module measures the edge of the corrected outline to obtain the bottom area and depth of the corrected outline edge, and then calculates The volume of the animal is obtained, and the volume-to-weight conversion ratio module will identify various conditional factors of the animal to output a volume-to-weight conversion ratio that meets the conditional factors. In addition, the weight calculation module will obtain the volume-to-weight conversion ratio from the volume calculation module.
  • Animal volume substitute the volume-to-weight conversion ratio provided from the volume-to-weight conversion ratio module,
  • the weight of the animal is obtained by calculation, and the weight statistics module sums up the weights of multiple animals within the preset range captured by the photography unit, and connects the control unit to a display unit to calculate the weight of the animal.
  • the weight statistical results are displayed on the display unit.
  • the animal growth identification system wherein the animal growth identification artificial intelligence program further includes an abnormality warning module
  • the abnormality warning module will identify the body temperature of the animal in the thermal image to compare it with the normal body temperature of the animal. Yes, to determine whether the animal is sick or dead. If it is determined that the animal is sick or dead, the control unit is driven to display an abnormal warning message on the display unit.
  • the animal condition factors identified by the volume-to-weight conversion ratio module include at least one of the animal's species, growth stage, and growth season.
  • At least one photography unit takes pictures of animals in a breeding area, and transmits the captured stereoscopic vision images and thermal images to a control unit, so that the control unit can respectively Construct the stereoscopic visual contour and thermal image contour of the farmed animal, and then superimpose the two contours to obtain the corrected contour of the animal. Then calculate the volume of the corrected contour, and then identify the species, growth stage and other conditions of the animal. The factor is to output the corresponding volume-to-weight conversion ratio, and then the obtained volume is substituted into the volume-to-weight conversion ratio to obtain the weight of the animal. Through this, the weights of multiple animals photographed in the breeding area can be added up. Statistics can be used to accurately estimate the harvesting time of animals in the breeding area, thereby effectively saving feed costs and other benefits.
  • Figure 1 is a system architecture diagram of the present invention.
  • Figure 2 is a flow chart of the present invention.
  • Figure 3 is a usage state diagram of the present invention.
  • Figure 4 is a diagram of the superimposed state of the stereoscopic visual outline and the thermal image outline of the present invention.
  • FIGS 1 and 3 are animal growth identification methods and systems of the present invention, which mainly include a fixed unit (1).
  • the fixed unit (1) is a bracket installed above the breeding area, and At least one photography unit (2) is installed on the fixed unit (1).
  • the photography unit (2) is equipped with at least two stereoscopic imaging lenses (21) and at least one thermal imaging lens (22). It also includes There is a control unit (3).
  • the control unit (3) can be a desktop computer, a notebook computer or a tablet computer, etc., connected to the photography unit (2), and is built-in in the control unit (3).
  • the animal growth recognition artificial intelligence program (4) includes a three-dimensional image contour construction module (41), a thermal image contour construction module (42), and a contour correction module (43).
  • a volume calculation module (44), a volume-to-weight conversion ratio module (45), a weight calculation module (46), a weight statistics module (47) and an abnormality warning module (48) are used by the control unit (3)
  • Each module connected to the animal growth identification artificial intelligence program (4) operates to connect the control unit (3) with a display unit (5) such as a screen.
  • A. Shooting image screen Please refer to Figure 3 as well.
  • the contour correction module (43) matches the constructed stereoscopic vision contour (61) and thermal image contour (62) of the one animal (6) Superimpose to obtain the corrected outline of the animal (6) after removing feathers or hair;
  • D. Calculate animal volume continue to measure the edge of the correction outline by the volume calculation module (44) to obtain the average depth of the edge of the correction outline, and the depth and bottom area of each edge point pixel (pixel) of the correction outline, and then substitute it into The volume solution formula of , where p is the average depth of the edge, di is the depth of the i-th pixel, and Ai is the bottom area of the i-th pixel. Accordingly, it is calculated through the corrected contour of the animal (6) The size of the animal (6);
  • volume-to-weight conversion ratio module (45) will identify at least one of the conditional factors such as the species, growth stage, and growing season of the animal (6) to output the conditional factors that meet these conditions.
  • the volume-to-weight conversion ratio is obtained by calculating the actual weight of general animals that conforms to the species, growth stage, growing season and other condition factors through the neural network;
  • the weight calculation module (46) will obtain the volume of the animal (6) from the volume calculation module (44), and substitute it into the volume-to-weight conversion ratio module (45) to provide the volume of the animal (6).
  • the weight of the animal (6) can be calculated by calculating the volume-to-weight conversion ratio of its species, growth stage, growing season and other conditional factors;
  • the weight statistics module (47) will The total weight statistics of the plurality of animals (6) are displayed on the display unit (5) connected to the control unit (3).
  • the animal growth identification artificial intelligence program (4) of the present invention is provided with an abnormality warning module (48), and further includes an abnormality warning step.
  • the abnormality warning module (48) When the photography unit (2) When the thermal image picture is transmitted to the control unit (3), the abnormality warning module (48) will identify the body temperature of the animal (6) in the thermal image picture to compare it with the normal body temperature of the animal (6), and determine Whether the animal (6) is sick or dead, if it is judged that the animal (6) is sick or dead, the control unit (3) is driven to display an abnormal warning message on the display unit (5). Accordingly, to facilitate breeding Business operators must promptly dispose of sick or dead animals to avoid the spread of disease, etc. Bigger losers.
  • the animal growth identification method and its system of the present invention introduce the technology of visual calculation of the weight of farmed animals, which can monitor multiple farmed animals within a range of the breeding area at one time, thereby accurately obtaining the groups of multiple animals in the breeding area. Weight distribution status, and then predict the best harvest time and feed feeding days of these farmed animals, so as to achieve effective savings in feed costs and other benefits.
  • the animal growth identification method and its system of the present invention capture thermal images of animals to identify the body temperature of the animals, and then determine whether the animals are sick or dead, so as to display a warning message when an abnormality occurs. Accordingly, to facilitate timely Dispose of the sick or dead animals to avoid greater losses such as the spread of disease.
  • the animal growth identification method and system of the present invention can identify the species, growth stages, seasons, etc. of different animals to obtain the corresponding volume-to-weight conversion ratio. This can be convenient even if a variety of animals are mixed in a breeding farm. Calculate mixed animals separately to accurately estimate growth and harvest times for each species.

Abstract

The present invention relates to an animal growth identification method and system. The method comprises: using at least one photographing unit to photograph an animal in a breeding area, and transmitting a stereoscopic visual image picture and a thermal image picture captured by the photographing unit to a control unit; using the control unit to respectively construct a stereoscopic visual contour and a thermal image contour of the farmed animal; superimposing the two contours correspondingly to obtain a corrected contour of the animal; calculating the volume of the corrected contour; identifying conditional factors such as the species and growth state of the animal to output a corresponding volume weight conversion ratio; and then substituting the obtained volume into the volume weight conversion ratio to calculate the weight of the animal. In this way, the weights of a plurality of animals photographed in the breeding area can be added up to accurately estimate the harvesting time of the animals in the breeding area, thereby achieving the benefits of effectively saving feed costs, etc.

Description

动物生长辨识方法及其系统Animal growth identification method and system 技术领域Technical field
本发明有关于一种动物生长辨识方法及其系统，尤指一种可准确预估养殖动物的采收时间，以有效节省饲料成本的方法及其系统。The present invention relates to an animal growth identification method and its system, and in particular, to a method and its system that can accurately estimate the harvesting time of farmed animals to effectively save feed costs.
背景技术Background technique
鸡、猪、牛等养殖动物为人们生活饮食中主要肉类、蛋白质摄取来源，不仅营养价值高，也是许多加工食品的原料。Breeding animals such as chickens, pigs, and cattle are the main sources of meat and protein in people's diet. They not only have high nutritional value, but are also raw materials for many processed foods.
现有养殖场对养殖动物的重量监控主要依赖人工抽样采小只数秤重，或是使用定置型物理磅秤，让动物自行跳上去秤重等；然，无论是人工抽样秤重，或动物自行上磅秤重的测量方式都有测量频率与数据过少，易造成预估群体重量分布失准情形。而养殖动物的饲料成本一般占总营运成本的70％以上，故养殖动物的重量数据对养殖作业极为重要，可用来计算最佳化饲料喂食天数，另重量分布亦是营收的主要计算依据，若可准确预估动物的生长与采收时间，将有助于饲料成本最佳化，以提高养殖业者利润。The weight monitoring of farmed animals in existing farms mainly relies on manual sampling and weighing of small numbers, or the use of fixed physical scales, allowing animals to jump on and weigh themselves. However, whether it is manual sampling and weighing, or the animals weigh themselves, The measurement method of weighing on the scale has too little measurement frequency and too little data, which can easily lead to inaccurate estimates of group weight distribution. The feed cost of farmed animals generally accounts for more than 70% of the total operating costs. Therefore, the weight data of farmed animals is extremely important for farming operations. It can be used to calculate the optimal number of feed feeding days. In addition, weight distribution is also the main calculation basis for revenue. If the growth and harvest time of animals can be accurately estimated, it will help optimize feed costs and increase farmers' profits.
缘是，本发明人有鉴于现有对养殖动物的重量取得方式于实施上仍有上述缺失，乃借其多年于相关领域的制造及设计经验和知识的辅佐，并经多方巧思研创出本发明。The reason is that in view of the above-mentioned shortcomings in the implementation of the existing methods of obtaining the weight of farmed animals, the inventor used his many years of manufacturing and design experience and knowledge in related fields to create the method through many ingenious efforts. this invention.
发明内容Contents of the invention
本发明有关于一种动物生长辨识方法及其系统，其主要目的为了提供一种可准确预估养殖动物的采收时间，以有效节省饲料成本的方法及其系统。The present invention relates to an animal growth identification method and its system. Its main purpose is to provide a method and its system that can accurately predict the harvest time of farmed animals to effectively save feed costs.
为了达到上述实施目的，本发明人乃研拟如下动物生长辨识方法，其实施步骤包含：In order to achieve the above-mentioned implementation objectives, the inventor developed the following animal growth identification method, the implementation steps of which include:
A.拍摄影像画面：乃使用至少一摄影单元拍摄一养殖区域预设范围内的动物，并将所拍摄到的动物的立体视觉影像画面及热影像画面传送至一控制单元；A. Capturing images: using at least one photography unit to capture animals within a preset range of a breeding area, and transmitting the captured three-dimensional visual images and thermal images of the animals to a control unit;
B.构建影像轮廓：再使该控制单元对该立体视觉影像画面及热影像画面中的其一动物构建其立体视觉轮廓及热影像轮廓；B. Construct the image outline: Then let the control unit construct the stereoscopic visual outline and the thermal image outline of one of the animals in the stereoscopic vision image frame and the thermal image frame;
C.取得校正轮廓：继使该控制单元将该其一动物的立体视觉轮廓及热影像轮廓对应叠合，以获得该动物的校正轮廓； C. Obtain the corrected outline: The control unit then superimposes the stereoscopic visual outline and the thermal image outline of the animal to obtain the corrected outline of the animal;
D.计算动物体积：续使该控制单元测量该校正轮廓的边缘，以获得该校正轮廓边缘的深度及底面积，再计算求得该动物的体积；D. Calculate the volume of the animal: continue to make the control unit measure the edge of the correction contour to obtain the depth and bottom area of the edge of the correction contour, and then calculate the volume of the animal;
E.取得体积重量换算比：又该控制单元会辨识该动物的各项条件因素，以输出符合该条件因素的体积重量换算比；E. Obtain the volume and weight conversion ratio: The control unit will identify various condition factors of the animal and output the volume and weight conversion ratio that meets the condition factors;
F.计算动物重量：继该控制单元将所获得的该动物体积代入该体积重量换算比，以计算求得该动物的重量；F. Calculate the weight of the animal: The control unit then substitutes the obtained volume of the animal into the volume-to-weight conversion ratio to calculate the weight of the animal;
G.统计动物总重量：而后该控制单元将该摄影单元所拍摄到的该养殖区域预设范围内的多个动物的重量逐个求出后，再将该多个动物的重量加总统计，并将该重量统计结果显示于一显示单元上。G. Statistics of the total weight of animals: Then the control unit calculates the weights of multiple animals within the preset range of the breeding area captured by the photography unit one by one, and then adds up the weights of the multiple animals, and The weight statistical result is displayed on a display unit.
如上所述的动物生长辨识方法，其中，该动物生长辨识方法进一步包含一异常警告步骤，乃使该控制单元将该动物的热影像画面与该动物的正常体温相比对，以判断该动物是否生病或死亡，若判断该动物生病或死亡时，于该显示单元上显示一异常警告信息。The animal growth identification method as mentioned above, wherein the animal growth identification method further includes an abnormality warning step, which enables the control unit to compare the thermal image of the animal with the normal body temperature of the animal to determine whether the animal Sick or dead, if the animal is judged to be sick or dead, an abnormal warning message will be displayed on the display unit.
如上所述的动物生长辨识方法，其中，该控制单元所辨识的该动物的条件因素包含有动物的品种、生长阶段及生长季节至少其中之一。In the animal growth identification method as described above, the condition factors of the animal identified by the control unit include at least one of the animal's species, growth stage and growth season.
本发明人进一步研拟如下动物生长辨识系统，主要包含有一固定单元，使该固定单元架设于一养殖区域，又于该固定单元上组设有至少一摄影单元，该摄影单元内设有至少二颗立体影像镜头及至少一颗热影像镜头，另包含有一控制单元，以与该摄影单元信号连接，并于该控制单元内建有一动物生长辨识人工智能程序，该动物生长辨识人工智能程序包含有一立体影像轮廓构建模块、一热影像轮廓构建模块、一轮廓校正模块、一体积计算模块、一体积重量换算比模块、一重量计算模块及一重量统计模块，以由该控制单元连接该动物生长辨识人工智能程序的各模块运作，其中，该摄影单元拍摄该养殖区域一预设范围内的养殖动物，并将所拍摄到的立体视觉影像画面及热影像画面传送至该控制单元，该立体影像轮廓构建模块对该立体视觉影像画面中的其一动物构建其立体视觉轮廓，又该热影像轮廓构建模块对该热影像画面中的该其一动物构建其热影像轮廓，而该轮廓校正模块将该动物的立体视觉轮廓及热影像轮廓对应叠合，以获得该其一动物的校正轮廓，另该体积计算模块测量该校正轮廓的边缘，以取得该校正轮廓边缘的底面积及深度，再计算求得该动物的体积，又该体积重量换算比模块会辨识该动物的各项条件因素，以输出符合该条件因素的体积重量换算比，另该重量计算模块将从该体积计算模块所获得的该动物体积，代入从该体积重量换算比模块提供的体积重量换算比， 以计算求得该动物的重量，又该重量统计模块将该摄影单元所拍摄到的预设范围内的多个动物的重量加总统计，复使该控制单元与一显示单元相连接，以将该重量统计结果显示于该显示单元上。The inventor further developed the following animal growth identification system, which mainly includes a fixed unit, which is installed in a breeding area, and at least one photography unit is installed on the fixed unit, and at least two photography units are installed in the photography unit. A three-dimensional imaging lens and at least one thermal imaging lens also include a control unit for signal connection with the photography unit, and an animal growth recognition artificial intelligence program is built into the control unit, and the animal growth recognition artificial intelligence program includes an A three-dimensional image contour building module, a thermal image contour building module, a contour correction module, a volume calculation module, a volume-to-weight conversion ratio module, a weight calculation module and a weight statistics module to connect the animal growth recognition module to the control unit Each module of the artificial intelligence program operates. Among them, the photography unit captures the farmed animals within a preset range of the breeding area, and transmits the captured stereoscopic visual image and thermal image to the control unit. The three-dimensional image outline The construction module constructs the stereoscopic vision outline of one of the animals in the stereoscopic vision image frame, and the thermal image outline construction module constructs the thermal image outline of the one animal in the thermal image frame, and the outline correction module constructs the thermal image outline of the animal in the thermal image frame. The animal's stereoscopic vision outline and the thermal image outline are superimposed correspondingly to obtain the corrected outline of the animal, and the volume calculation module measures the edge of the corrected outline to obtain the bottom area and depth of the corrected outline edge, and then calculates The volume of the animal is obtained, and the volume-to-weight conversion ratio module will identify various conditional factors of the animal to output a volume-to-weight conversion ratio that meets the conditional factors. In addition, the weight calculation module will obtain the volume-to-weight conversion ratio from the volume calculation module. Animal volume, substitute the volume-to-weight conversion ratio provided from the volume-to-weight conversion ratio module, The weight of the animal is obtained by calculation, and the weight statistics module sums up the weights of multiple animals within the preset range captured by the photography unit, and connects the control unit to a display unit to calculate the weight of the animal. The weight statistical results are displayed on the display unit.
如上所述的动物生长辨识系统，其中，该动物生长辨识人工智能程序进一步包含有一异常警告模块，该异常警告模块会辨识该热影像画面中动物的体温状况，以与该动物的正常体温进行比对，以判断该动物是否生病或死亡，若判断该动物生病或死亡时，驱使该控制单元于该显示单元上显示一异常警告信息。As mentioned above, the animal growth identification system, wherein the animal growth identification artificial intelligence program further includes an abnormality warning module, the abnormality warning module will identify the body temperature of the animal in the thermal image to compare it with the normal body temperature of the animal. Yes, to determine whether the animal is sick or dead. If it is determined that the animal is sick or dead, the control unit is driven to display an abnormal warning message on the display unit.
如上所述的动物生长辨识系统，其中，该体积重量换算比模块所辨识的动物条件因素包含有动物的品种、生长阶段及生长季节至少其中之一。In the animal growth identification system as described above, the animal condition factors identified by the volume-to-weight conversion ratio module include at least one of the animal's species, growth stage, and growth season.
借此，本发明于使用实施时，使至少一摄影单元对一养殖区域的动物进行拍摄，并将其所拍摄到的立体视觉影像画面及热影像画面传送至一控制单元，以于控制单元分别构建出该养殖动物的立体视觉轮廓及热影像轮廓，再将二种轮廓对应叠合以获得该动物的校正轮廓，而后进行该校正轮廓体积的计算，继辨识该动物的品种、生长阶段等条件因素以输出对应的体积重量换算比，再将所获得的体积代入该体积重量换算比后求得该动物的重量，借此，即可将养殖区域内所拍摄到的多个动物的重量加总统计，以准确预估该养殖区域内动物的采收时间，而达到有效节省饲料成本等效益。In this way, when the present invention is implemented, at least one photography unit takes pictures of animals in a breeding area, and transmits the captured stereoscopic vision images and thermal images to a control unit, so that the control unit can respectively Construct the stereoscopic visual contour and thermal image contour of the farmed animal, and then superimpose the two contours to obtain the corrected contour of the animal. Then calculate the volume of the corrected contour, and then identify the species, growth stage and other conditions of the animal. The factor is to output the corresponding volume-to-weight conversion ratio, and then the obtained volume is substituted into the volume-to-weight conversion ratio to obtain the weight of the animal. Through this, the weights of multiple animals photographed in the breeding area can be added up. Statistics can be used to accurately estimate the harvesting time of animals in the breeding area, thereby effectively saving feed costs and other benefits.
附图说明Description of the drawings
图1为本发明的系统架构图。Figure 1 is a system architecture diagram of the present invention.
图2为本发明的流程图。Figure 2 is a flow chart of the present invention.
图3为本发明的使用状态图。Figure 3 is a usage state diagram of the present invention.
图4为本发明的立体视觉轮廓及热影像轮廓叠合状态图。Figure 4 is a diagram of the superimposed state of the stereoscopic visual outline and the thermal image outline of the present invention.
附图标号：
1：固定单元
2：摄影单元
21：立体影像镜头
22：热影像镜头
3：控制单元
4：动物生长辨识人工智能程序
41：立体影像轮廓构建模块
42：热影像轮廓构建模块
43：轮廓校正模块
44：体积计算模块
45：体积重量换算比模块
46：重量计算模块
47：重量统计模块
48：异常警告模块
5：显示单元
6：动物
61：立体视觉轮廓
62：热影像轮廓Reference number:
1: Fixed unit
2: Photography unit
21: Stereoscopic imaging lens
22: Thermal imaging lens
3: Control unit
4: Animal growth identification artificial intelligence program
41: Stereo image contour building module
42: Thermal Image Profile Building Blocks
43: Contour correction module
44: Volume calculation module
45: Volume to weight conversion ratio module
46: Weight calculation module
47: Weight statistics module
48: Exception warning module
5: Display unit
6: animals
61: Stereoscopic vision outline
62: Thermal image contour
具体实施方式Detailed ways
而为令本发明的技术手段及其所能达成的效果，能够有更完整且清楚的揭露，兹详细说明如下，请一并参阅揭露的图式及图号：In order to provide a more complete and clear disclosure of the technical means of the present invention and the effects it can achieve, the detailed description is as follows. Please also refer to the disclosed drawings and drawing numbers:
首先，请参阅图1及图3所示，为本发明的动物生长辨识方法及其系统，主要包含有一固定单元(1)，该固定单元(1)为一架设于养殖区域上方的支架，又于该固定单元(1)上组设有至少一摄影单元(2)，该摄影单元(2)内设有至少二颗立体影像镜头(21)及至少一颗热影像镜头(22)，另包含有一控制单元(3)，该控制单元(3)可为一桌上型电脑、笔记型电脑或平板电脑等，以与该摄影单元(2)相连接，并于该控制单元(3)内建有一动物生长辨识人工智能程序(4)，该动物生长辨识人工智能程序(4)包含有一立体影像轮廓构建模块(41)、一热影像轮廓构建模块(42)、一轮廓校正模块(43)、一体积计算模块(44)、一体积重量换算比模块(45)、一重量计算模块(46)、一重量统计模块(47)及一异常警告模块(48)，以由该控制单元(3)连接该动物生长辨识人工智能程序(4)的各模块运作，复使该控制单元(3)与一屏幕等显示单元(5)相连接。First, please refer to Figures 1 and 3, which are animal growth identification methods and systems of the present invention, which mainly include a fixed unit (1). The fixed unit (1) is a bracket installed above the breeding area, and At least one photography unit (2) is installed on the fixed unit (1). The photography unit (2) is equipped with at least two stereoscopic imaging lenses (21) and at least one thermal imaging lens (22). It also includes There is a control unit (3). The control unit (3) can be a desktop computer, a notebook computer or a tablet computer, etc., connected to the photography unit (2), and is built-in in the control unit (3). There is an animal growth recognition artificial intelligence program (4). The animal growth recognition artificial intelligence program (4) includes a three-dimensional image contour construction module (41), a thermal image contour construction module (42), and a contour correction module (43). A volume calculation module (44), a volume-to-weight conversion ratio module (45), a weight calculation module (46), a weight statistics module (47) and an abnormality warning module (48) are used by the control unit (3) Each module connected to the animal growth identification artificial intelligence program (4) operates to connect the control unit (3) with a display unit (5) such as a screen.
据此，当本发明于使用实施时，请一并参阅图2所示，其实施步骤包含：Accordingly, when the present invention is implemented, please refer to Figure 2 as well. The implementation steps include:
A.拍摄影像画面：请一并参阅图3所示，将该摄影单元(2)组设于该固定单元(1)上，而位于一养殖区域的上方位置，再使该摄影单元(2)拍摄该养殖区域一预设范围内的鸡、猪、牛等养殖动物(6)，并将所拍摄到的动物(6)其立体视觉影像画面及热影像画面等传送至该控制单元(3)； A. Shooting image screen: Please refer to Figure 3 as well. Set the photography unit (2) on the fixed unit (1) and locate it above a breeding area, and then use the photography unit (2) to Photograph chickens, pigs, cattle and other breeding animals (6) within a preset range of the breeding area, and transmit the three-dimensional visual images and thermal images of the photographed animals (6) to the control unit (3) ;
B.构建影像轮廓：继使该控制单元(3)内建的动物生长辨识人工智能程序(4)所设立体影像轮廓构建模块(41)利用3D点云技术对该立体视觉影像画面中的其一动物(6)构建其立体视觉轮廓(61)，另使该热影像轮廓构建模块(42)利用3D点云技术对该热影像画面中的该其一动物(6)构建其热影像轮廓(62)：B. Constructing image contours: The animal growth recognition artificial intelligence program (4) built in the control unit (3) then establishes a three-dimensional image contour building module (41) using 3D point cloud technology to construct other objects in the stereoscopic vision image. An animal (6) constructs its stereoscopic visual outline (61), and the thermal image outline construction module (42) uses 3D point cloud technology to construct its thermal image outline (6) of the animal (6) in the thermal image frame. 62):
C.取得校正轮廓：请一并参阅图4所示，再由该轮廓校正模块(43)将所构建的该其一动物(6)的立体视觉轮廓(61)及热影像轮廓(62)对应叠合，以获得该动物(6)去除羽毛或毛发等后的校正轮廓；C. Obtain the corrected contour: please refer to Figure 4 as well, and then the contour correction module (43) matches the constructed stereoscopic vision contour (61) and thermal image contour (62) of the one animal (6) Superimpose to obtain the corrected outline of the animal (6) after removing feathers or hair;
D.计算动物体积：续由该体积计算模块(44)测量该校正轮廓的边缘，以获得该校正轮廓边缘的平均深度，及该校正轮廓其各边缘点像素〔pixel〕的深度与底面积，而后将其代入的体积求解公式，其中，p为边缘的平均深度、di为第i个像素的深度，而Ai为第i个像素的底面积，依此，以经由该动物(6)的校正轮廓计算求得该动物(6)的体积；D. Calculate animal volume: continue to measure the edge of the correction outline by the volume calculation module (44) to obtain the average depth of the edge of the correction outline, and the depth and bottom area of each edge point pixel (pixel) of the correction outline, and then substitute it into The volume solution formula of , where p is the average depth of the edge, di is the depth of the i-th pixel, and Ai is the bottom area of the i-th pixel. Accordingly, it is calculated through the corrected contour of the animal (6) The size of the animal (6);
E.取得体积重量换算比：随之该体积重量换算比模块(45)会辨识该动物(6)的品种、生长阶段及生长季节等至少其中之一的条件因素，以输出符合该等条件因素的体积重量换算比，该体积重量换算比将符合该品种、生长阶段及生长季节等条件因素的一般动物的实际重量借由神经网络计算后所获得；E. Obtain the volume-to-weight conversion ratio: Then the volume-to-weight conversion ratio module (45) will identify at least one of the conditional factors such as the species, growth stage, and growing season of the animal (6) to output the conditional factors that meet these conditions. The volume-to-weight conversion ratio is obtained by calculating the actual weight of general animals that conforms to the species, growth stage, growing season and other condition factors through the neural network;
F.计算动物重量：而后该重量计算模块(46)将从该体积计算模块(44)所求得该动物(6)体积，代入该体积重量换算比模块(45)提供的符合该动物(6)其品种、生长阶段及生长季节等条件因素的体积重量换算比后，即可计算求得该动物(6)的重量；F. Calculate the weight of the animal: Then the weight calculation module (46) will obtain the volume of the animal (6) from the volume calculation module (44), and substitute it into the volume-to-weight conversion ratio module (45) to provide the volume of the animal (6). ) The weight of the animal (6) can be calculated by calculating the volume-to-weight conversion ratio of its species, growth stage, growing season and other conditional factors;
G.统计动物总重量：复将该摄影单元(2)所拍摄到的该养殖区域预设范围内的多个动物(6)的重量逐个求出后，再由该重量统计模块(47)将该多个动物(6)的重量加总统计，以于该控制单元(3)连接的显示单元(5)显示其重量统计结果。G. Statistics of the total weight of animals: After calculating the weights of multiple animals (6) within the preset range of the breeding area captured by the photography unit (2) one by one, the weight statistics module (47) will The total weight statistics of the plurality of animals (6) are displayed on the display unit (5) connected to the control unit (3).
借此，养殖业者即可准确得知该养殖区域的多个动物(6)的群体重量分布状态，进而准确预估该养殖区域内动物(6)的最佳采收时间及饲料喂食天数，以达到有效节省饲料成本及提高养殖业者利润等实质效益。另值得一提的是，本发明的动物生长辨识人工智能程序(4)设有一异常警告模块(48)，而进一步包含有一异常警告步骤，当摄影单元(2)将所拍摄的动物(6)的热影像画面传送至控制单元(3)时，该异常警告模块(48)会辨识该热影像画面中动物(6)的体温状况，以与该动物(6)正常体温进行比对，而判断该动物(6)是否生病或死亡，若判断该动物(6)生病或死亡时，则驱使该控制单元(3)于该显示单元(5)上显示一异常警告信息，据此，以利养殖业者及时处置该生病或死亡动物，避免发生疾病蔓延等 更大损失者。In this way, farmers can accurately know the group weight distribution status of multiple animals (6) in the breeding area, and then accurately estimate the optimal harvesting time and feed feeding days of the animals (6) in the breeding area, so as to Achieving substantial benefits such as effectively saving feed costs and increasing profits for farmers. It is also worth mentioning that the animal growth identification artificial intelligence program (4) of the present invention is provided with an abnormality warning module (48), and further includes an abnormality warning step. When the photography unit (2) When the thermal image picture is transmitted to the control unit (3), the abnormality warning module (48) will identify the body temperature of the animal (6) in the thermal image picture to compare it with the normal body temperature of the animal (6), and determine Whether the animal (6) is sick or dead, if it is judged that the animal (6) is sick or dead, the control unit (3) is driven to display an abnormal warning message on the display unit (5). Accordingly, to facilitate breeding Business operators must promptly dispose of sick or dead animals to avoid the spread of disease, etc. Bigger losers.
由上述结构及实施方式可知，本发明具有如下优点：It can be seen from the above structure and implementation that the present invention has the following advantages:
1.本发明的动物生长辨识方法及其系统导入视觉计算养殖动物重量技术，可一次监控养殖区域一范围内的多个养殖动物，借此，即可准确获得该养殖区域的多个动物的群体重量分布状态，进而预估该等养殖动物的最佳采收时间及饲料喂食天数，以达到有效节省饲料成本等效益。1. The animal growth identification method and its system of the present invention introduce the technology of visual calculation of the weight of farmed animals, which can monitor multiple farmed animals within a range of the breeding area at one time, thereby accurately obtaining the groups of multiple animals in the breeding area. Weight distribution status, and then predict the best harvest time and feed feeding days of these farmed animals, so as to achieve effective savings in feed costs and other benefits.
2.本发明的动物生长辨识方法及其系统拍摄有动物的热影像画面，以供辨识动物体温状况，进而判断动物是否生病或死亡，以于发生异常时显示警告信息，据此，以利及时处置该生病或死亡动物，避免发生疾病蔓延等更大损失。2. The animal growth identification method and its system of the present invention capture thermal images of animals to identify the body temperature of the animals, and then determine whether the animals are sick or dead, so as to display a warning message when an abnormality occurs. Accordingly, to facilitate timely Dispose of the sick or dead animals to avoid greater losses such as the spread of disease.
3.本发明的动物生长辨识方法及其系统可辨识不同动物的品种、生长阶段与季节等，以获得对应的体积重量换算比，于此，即使于养殖场混养各种动物，亦可便利将混养的动物分开计算，以准确预估各种动物的生长与采收时间。 3. The animal growth identification method and system of the present invention can identify the species, growth stages, seasons, etc. of different animals to obtain the corresponding volume-to-weight conversion ratio. This can be convenient even if a variety of animals are mixed in a breeding farm. Calculate mixed animals separately to accurately estimate growth and harvest times for each species.

Claims (6)

  1. 一种动物生长辨识方法，其特征在于，其实施步骤包含：An animal growth identification method, characterized in that its implementation steps include:
    A.拍摄影像画面：乃使用至少一摄影单元拍摄一养殖区域预设范围内的动物，并将所拍摄到的动物的立体视觉影像画面及热影像画面传送至一控制单元；A. Capturing images: using at least one photography unit to capture animals within a preset range of a breeding area, and transmitting the captured three-dimensional visual images and thermal images of the animals to a control unit;
    B.构建影像轮廓：再使所述控制单元对所述立体视觉影像画面及热影像画面中的其一动物构建其立体视觉轮廓及热影像轮廓；B. Construct the image outline: Then let the control unit construct the stereoscopic visual outline and the thermal image outline of one of the animals in the stereoscopic visual image frame and the thermal image frame;
    C.取得校正轮廓：继使所述控制单元将所述其一动物的立体视觉轮廓及热影像轮廓对应叠合，以获得所述动物的校正轮廓；C. Obtain the corrected outline: The control unit then superimposes the stereoscopic visual outline and the thermal image outline of one of the animals to obtain the corrected outline of the animal;
    D.计算动物体积：续使所述控制单元测量所述校正轮廓的边缘，以获得所述校正轮廓边缘的深度及底面积，再计算求得所述动物的体积；D. Calculate the volume of the animal: continue to make the control unit measure the edge of the correction contour to obtain the depth and bottom area of the edge of the correction contour, and then calculate the volume of the animal;
    E.取得体积重量换算比：又所述控制单元会辨识所述动物的各项条件因素，以输出符合所述条件因素的体积重量换算比；E. Obtain the volume-to-weight conversion ratio: and the control unit will identify various condition factors of the animal to output a volume-to-weight conversion ratio that meets the condition factors;
    F.计算动物重量：继所述控制单元将所获得的所述动物体积代入所述体积重量换算比，以计算求得所述动物的重量；F. Calculate the weight of the animal: The control unit then substitutes the obtained volume of the animal into the volume-to-weight conversion ratio to calculate the weight of the animal;
    G.统计动物总重量：而后所述控制单元将所述摄影单元所拍摄到的所述养殖区域预设范围内的多个动物的重量逐个求出后，再将所述多个动物的重量加总统计，并将重量统计结果显示于一显示单元上。G. Statistics of the total weight of animals: Then the control unit calculates the weights of multiple animals within the preset range of the breeding area captured by the photography unit one by one, and then adds the weights of the multiple animals. Total statistics are collected and the weight statistics results are displayed on a display unit.
  2. 根据权利要求1所述的动物生长辨识方法，其特征在于，所述动物生长辨识方法进一步包含一异常警告步骤，乃使所述控制单元将所述动物的热影像画面与所述动物的正常体温相比对，以判断所述动物是否生病或死亡，若判断所述动物生病或死亡时，于所述显示单元上显示一异常警告信息。The animal growth identification method according to claim 1, characterized in that the animal growth identification method further includes an abnormality warning step, which causes the control unit to compare the thermal image of the animal with the normal body temperature of the animal. Comparison is performed to determine whether the animal is sick or dead. If it is determined that the animal is sick or dead, an abnormal warning message is displayed on the display unit.
  3. 根据权利要求1所述的动物生长辨识方法，其特征在于，所述控制单元所辨识的所述动物的条件因素包含有动物的品种、生长阶段及生长季节至少其中之一。The animal growth identification method according to claim 1, wherein the condition factors of the animal identified by the control unit include at least one of the animal's species, growth stage and growth season.
  4. 一种动物生长辨识系统，其特征在于，主要包含有一固定单元，使所述固定单元架设于一养殖区域，又于所述固定单元上组设有至少一摄影单元，所述摄影单元内设有至少两颗立体影像镜头及至少一颗热影像镜头，另包含有一控制单元，以与所述摄影单元信号连接，并于所述控制单元内建有一动物生长辨识人工智能程序，所述动物生长辨识人工智能程序包含有一立体影像轮廓构建模块、一热影像轮廓构建模块、一轮廓校正模块、一体积计算模块、一体积重量换算比模块、一重量计算模块及一重量统计模块，以由所述控制单元连接所述动物生长辨识人工智能程序的各模块运作，其中，所述摄影 单元拍摄所述养殖区域一预设范围内的养殖动物，并将所拍摄到的立体视觉影像画面及热影像画面传送至所述控制单元，所述立体影像轮廓构建模块对所述立体视觉影像画面中的其一动物构建其立体视觉轮廓，又所述热影像轮廓构建模块对所述热影像画面中的所述其一动物构建其热影像轮廓，而所述轮廓校正模块将所述动物的立体视觉轮廓及热影像轮廓对应叠合，以获得所述其一动物的校正轮廓，另所述体积计算模块测量所述校正轮廓的边缘，以取得所述校正轮廓边缘的底面积及深度，再计算求得所述动物的体积，又所述体积重量换算比模块会辨识所述动物的各项条件因素，以输出符合所述条件因素的体积重量换算比，另所述重量计算模块将从所述体积计算模块所获得的所述动物的体积，代入从所述体积重量换算比模块提供的体积重量换算比，以计算求得所述动物的重量，又所述重量统计模块将所述摄影单元所拍摄到的预设范围内的多个动物的重量加总统计，复使所述控制单元与一显示单元相连接，以将所述重量统计结果显示于所述显示单元上。An animal growth identification system, which is characterized in that it mainly includes a fixed unit, which is installed in a breeding area, and at least one photography unit is set on the fixed unit, and the photography unit is equipped with At least two stereoscopic imaging lenses and at least one thermal imaging lens also include a control unit for signal connection with the photography unit, and an animal growth recognition artificial intelligence program is built into the control unit. The animal growth recognition The artificial intelligence program includes a three-dimensional image contour building module, a thermal image contour building module, a contour correction module, a volume calculation module, a volume-to-weight conversion ratio module, a weight calculation module and a weight statistics module to be controlled by the The unit connects the operation of each module of the animal growth recognition artificial intelligence program, wherein the photography The unit photographs the farmed animals within a preset range of the breeding area, and transmits the captured stereoscopic vision images and thermal images to the control unit, and the stereoscopic image contour building module One of the animals in the thermal image frame constructs its stereoscopic visual outline, and the thermal image outline construction module constructs its thermal image outline for the one animal in the thermal image frame, and the outline correction module constructs the three-dimensional visual outline of the animal. The visual outline and the thermal image outline are superimposed correspondingly to obtain the corrected outline of one of the animals, and the volume calculation module measures the edge of the corrected outline to obtain the bottom area and depth of the corrected outline edge, and then calculates Obtain the volume of the animal, and the volume-to-weight conversion ratio module will identify various condition factors of the animal to output a volume-to-weight conversion ratio that meets the condition factors, and the weight calculation module will calculate the volume from the The volume of the animal obtained by the volume calculation module is substituted into the volume to weight conversion ratio provided by the volume to weight conversion ratio module to calculate the weight of the animal, and the weight statistics module calculates the weight of the animal. The weight statistics of the captured multiple animals within the preset range are combined to connect the control unit to a display unit to display the weight statistics results on the display unit.
  5. 根据权利要求4所述的动物生长辨识系统，其特征在于，所述动物生长辨识人工智能程序进一步包含有一异常警告模块，所述异常警告模块会辨识所述热影像画面中动物的体温状况，以与所述动物的正常体温进行比对，以判断所述动物是否生病或死亡，若判断所述动物生病或死亡时，驱使所述控制单元于所述显示单元上显示一异常警告信息。The animal growth identification system according to claim 4, characterized in that the animal growth identification artificial intelligence program further includes an abnormality warning module, the abnormality warning module will identify the body temperature status of the animal in the thermal image frame, so as to Compare it with the normal body temperature of the animal to determine whether the animal is sick or dead. If it is determined that the animal is sick or dead, the control unit is driven to display an abnormality warning message on the display unit.
  6. 根据权利要求4所述的动物生长辨识系统，其特征在于，所述体积重量换算比模块所辨识的动物条件因素包含有动物的品种、生长阶段及生长季节至少其中之一。 The animal growth identification system according to claim 4, wherein the animal condition factors identified by the volume-to-weight conversion ratio module include at least one of the animal's species, growth stage, and growth season.
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CN111297367A (en) * 2019-11-26 2020-06-19 北京海益同展信息科技有限公司 Animal state monitoring method and device, electronic equipment and storage medium
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* Cited by examiner, † Cited by third party
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CN114051377A (en) * 2019-06-26 2022-02-15 维京遗传学Fmba Animal weight determination based on 3D imaging
CN111297367A (en) * 2019-11-26 2020-06-19 北京海益同展信息科技有限公司 Animal state monitoring method and device, electronic equipment and storage medium

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