TWI836453B - Animal growth identification method and system - Google Patents
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Abstract
Description
本發明係有關於一種動物生長辨識方法及其系統,尤指一種可準確預估養殖動物的採收時間,以有效節省飼料成本之方法及其系統。The present invention relates to an animal growth identification method and system, and more particularly to a method and system that can accurately estimate the harvesting time of farmed animals to effectively save feed costs.
按,雞、豬、牛等養殖動物為人們生活飲食中主要肉類、蛋白質攝取來源,不僅營養價值高,也是許多加工食品的原料。According to the World Health Organization, farmed animals such as chickens, pigs, and cattle are the main sources of meat and protein in people's diet. They are not only high in nutritional value, but are also the raw materials for many processed foods.
現有養殖場對養殖動物的重量監控主要係依賴人工抽樣採小隻數秤重,或是使用定置型物理磅秤,讓動物自行跳上去秤重等;然,無論是人工抽樣秤重,或動物自行上磅秤重的測量方式都有測量頻率與數據過少,易造成預估群體重量分布失準情形。而養殖動物的飼料成本一般佔總營運成本的70%以上,故養殖動物的重量數據對養殖作業極為重要,可用來計算最佳化飼料餵食天數,另重量分布亦是營收的主要計算依據,若可準確預估動物的生長與採收時間,將有助於飼料成本最佳化,以提高養殖業者利潤。The existing farms mainly rely on manual sampling and weighing of a small number of farmed animals, or use fixed physical scales to let the animals jump on to weigh themselves. However, whether it is manual sampling weighing or the animals weighing themselves, the measurement frequency and data are too little, which can easily cause inaccurate estimates of the weight distribution of the group. The feed cost of farmed animals generally accounts for more than 70% of the total operating cost. 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 harvesting time of animals can be accurately estimated, it will help optimize feed costs and increase the profits of farmers.
緣是,本發明人有鑑於現有對養殖動物的重量取得方式於實施上仍有上述缺失,乃藉其多年於相關領域的製造及設計經驗和知識的輔佐,並經多方巧思研創出本發明。Therefore, the inventor, in view of the above-mentioned deficiencies in the existing methods for obtaining the weight of farmed animals, has developed the present invention with the assistance of his many years of manufacturing and design experience and knowledge in related fields and through various ingenuity.
本發明係有關於一種動物生長辨識方法及其系統,其主要目的係為了提供一種可準確預估養殖動物的採收時間,以有效節省飼料成本之方法及其系統。The present invention relates to an animal growth identification method and system thereof, and its main purpose is to provide a method and system thereof that can accurately estimate the harvesting time of farmed animals to effectively save feed costs.
為了達到上述實施目的,本發明人乃研擬如下動物生長辨識方法,其實施步驟係包含:In order to achieve the above implementation objectives, the inventors have developed the following animal growth identification method, the implementation steps of which include:
A.拍攝影像畫面:乃使用至少一攝影單元拍攝一養殖區域預設範圍內之動物,並將所拍攝到之動物的立體視覺影像畫面及熱影像畫面傳送至一控制單元;A. Shooting images: using at least one photography unit to shoot animals within a preset range of a breeding area, and transmitting the three-dimensional visual images and thermal images of the animals to a control unit;
B.建構影像輪廓:再使該控制單元對該立體視覺影像畫面及熱影像畫面中之其一動物建構其立體視覺輪廓及熱影像輪廓;B. Constructing image outline: The control unit then constructs a stereoscopic visual outline and a thermal image outline of one of the animals in the stereoscopic visual image frame and the thermal image frame;
C.取得校正輪廓:繼使該控制單元將該其一動物的立體視覺輪廓及熱影像輪廓對應疊合,以獲得該動物之校正輪廓;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.計算動物體積:續使該控制單元量測該校正輪廓的邊緣,以獲得該校正輪廓邊緣的深度及底面積,再計算求得該動物的體積;D. Calculate the volume of the animal: continue to use the control unit to 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.取得體積重量換算比:又該控制單元係會辨識該動物的各項條件因素,以輸出符合該條件因素之體積重量換算比;E. Obtain the volume-to-weight conversion ratio: The control unit will identify various condition factors of the animal and output the volume-to-weight conversion ratio that meets the condition factors;
F.計算動物重量:繼該控制單元係將所獲得之該動物體積代入該體積重量換算比,以計算求得該動物的重量;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.統計動物總重量:而後該控制單元係將該攝影單元所拍攝到之該養殖區域預設範圍內之數多動物的重量逐個求出後,再將該數多動物的重量加總統計,並將該重量統計結果顯示於一顯示單元上。G. Calculate the total weight of the animals: The control unit then calculates the weights of the animals within the preset range of the breeding area photographed by the camera unit one by one, then adds up the weights of the animals and displays the weight statistics on a display unit.
如上所述之動物生長辨識方法,其中,該動物生長辨識方法係進一步包含一異常警告步驟,乃使該控制單元將該動物的熱影像畫面與該動物的正常體溫相比對,以判斷該動物是否生病或死亡,若判斷該動物生病或死亡時,係於該顯示模組上顯示一異常警告訊息。The animal growth identification method as described 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 Whether the animal is sick or dead, if it is determined that the animal is sick or dead, an abnormal warning message will be displayed on the display module.
如上所述之動物生長辨識方法,其中,該控制單元所辨識之該動物的條件因素係包含有動物的品種、生長階段及生長季節至少其中之一。The animal growth identification method as described above, 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.
本發明人係進一步研擬如下動物生長辨識系統,係主要包含有一固定單元,係使該固定單元架設於一養殖區域,又於該固定單元上組設有至少一攝影單元,該攝影單元係內設有至少二顆立體影像鏡頭及至少一顆熱影像鏡頭,另包含有一控制單元,以與該攝影單元訊號連結,並於該控制單元內建有一動物生長辨識人工智慧程式,該動物生長辨識人工智慧程式係包含有一立體影像輪廓建構模組、一熱影像輪廓建構模組、一輪廓校正模組、一體積計算模組、一體積重量換算比模組、一重量計算模組及一重量統計模組,以由該控制單元連結該動物生長辨識人工智慧程式之各模組運作,其中,該攝影單元係拍攝該養殖區域一預設範圍內之養殖動物,並將所拍攝到的立體視覺影像畫面及熱影像畫面傳送至該控制單元,該立體影像輪廓建構模組係對該立體視覺影像畫面中的其一動物建構其立體視覺輪廓,又該熱影像輪廓建構模組係對該熱影像畫面中之該其一動物建構其熱影像輪廓,而該輪廓校正模組係將該動物的立體視覺輪廓及熱影像輪廓對應疊合,以獲得該其一動物的校正輪廓,另該體積計算模組係量測該校正輪廓的邊緣,以取得該校正輪廓邊緣的底面積及深度,再計算求得該動物的體積,又該體積重量換算比模組係會辨識該動物的各項條件因素,以輸出符合該條件因素的體積重量換算比,另該重量計算模組係將從該體積計算模組所獲得之該動物體積,代入從該體積重量換算比模組提供之體積重量換算比,以計算求得該動物的重量,又該重量統計模組係將該攝影單元所拍攝到之預設範圍內之數多動物的重量加總統計,復使該控制單元與一顯示單元相連結,以將該重量統計結果顯示於該顯示單元上。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 the photography unit is inside It is equipped with at least two stereoscopic imaging lenses and at least one thermal imaging lens. It also includes a control unit for signal connection with the photography unit, and an animal growth recognition artificial intelligence program is built in the control unit. The animal growth recognition artificial intelligence program The smart program includes a three-dimensional image contour construction module, a thermal image contour construction 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. The group is operated by the control unit connected to each module of the animal growth recognition artificial intelligence program. Among them, the photography unit shoots the farmed animals within a preset range of the breeding area and combines the captured three-dimensional visual images. and the thermal image frame is transmitted to the control unit, the three-dimensional image contour construction module constructs a three-dimensional visual contour of one of the animals in the stereoscopic vision image frame, and the thermal image contour construction module constructs a three-dimensional visual contour of the animal in the thermal image frame The one animal constructs its thermal image outline, and the outline correction module superimposes the animal's stereoscopic vision outline and the thermal image outline correspondingly to obtain the corrected outline of the one animal, and the volume calculation module is Measure the edge of the correction outline to obtain the base area and depth of the edge of the correction outline, and then calculate the volume of the animal. The volume-to-weight conversion ratio module will identify various condition factors of the animal to output The volume and weight conversion ratio that meets the condition factors, and the weight calculation module will substitute the volume of the animal obtained from the volume calculation module into the volume and weight conversion ratio provided by the volume and weight conversion ratio module to calculate The weight of the animal is obtained, and the weight statistics module adds up statistics of the weight of a number of animals within a 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 statistics results are displayed on the display unit.
如上所述之動物生長辨識系統,其中,該動物生長辨識人工智慧程式係進一步包含有一異常警告模組,該異常警告模組係會辨識該熱影像畫面中動物的體溫狀況,以與該動物的正常體溫進行比對,以判斷該動物是否生病或死亡,若判斷該動物生病或死亡時,係驅使該控制單元於該顯示模組上顯示一異常警告訊息。In the animal growth identification system as described above, the animal growth identification artificial intelligence program further includes an abnormal warning module, which identifies the body temperature of the animal in the thermal image and compares it with the normal body temperature of the animal to determine whether the animal is sick or dead. If the animal is determined to be sick or dead, the control unit is driven to display an abnormal warning message on the display module.
如上所述之動物生長辨識系統,其中,該體積重量換算比模組所辨識的動物條件因素係包含有動物的品種、生長階段及生長季節至少其中之一。In the animal growth identification system as described above, the animal condition factor identified by the volume-to-weight conversion ratio module includes at least one of the animal species, growth stage, and growth season.
藉此,本發明於使用實施時,使至少一攝影單元對一養殖區域的動物進行拍攝,並將其所拍攝到的立體視覺影像畫面及熱影像畫面傳送至一控制單元,以於控制單元分別建構出該養殖動物的立體視覺輪廓及熱影像輪廓,再將二種輪廓對應疊合以獲得該動物的校正輪廓,而後進行該校正輪廓體積的計算,繼辨識該動物的品種、生長階段等條件因素以輸出對應之體積重量換算比,再將所獲得的體積代入該體積重量換算比後求得該動物的重量,藉此,即可將養殖區域內所拍攝到之數多動物的重量加總統計,以準確預估該養殖區域內動物的採收時間,而達到有效節省飼料成本等效益。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 outline and thermal image outline of the farmed animal, and then superimpose the two outlines to obtain the corrected outline of the animal. Then calculate the volume of the corrected outline, 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. This way, the weight of the many 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.
而為令本發明之技術手段及其所能達成之效果,能夠有更完整且清楚的揭露,茲詳細說明如下,請一併參閱揭露之圖式及圖號:In order to make the technical means of the present invention and the effects that can be achieved more completely and clearly disclosed, the following is a detailed description, and please refer to the disclosed drawings and figure numbers:
首先,請參閱第一、三圖所示,為本發明之動物生長辨識方法及其系統,係主要包含有一固定單元(1),該固定單元(1)係為一架設於養殖區域上方之支架,又於該固定單元(1)上組設有至少一攝影單元(2),該攝影單元(2)係內設有至少二顆立體影像鏡頭(21)及至少一顆熱影像鏡頭(22),另包含有一控制單元(3),該控制單元(3)可為一桌上型電腦、筆記型電腦或平板電腦等,以與該攝影單元(2)相連結,並於該控制單元(3)內建有一動物生長辨識人工智慧程式(4),該動物生長辨識人工智慧程式(4)係包含有一立體影像輪廓建構模組(41)、一熱影像輪廓建構模組(42)、一輪廓校正模組(43)、一體積計算模組(44)、一體積重量換算比模組(45)、一重量計算模組(46)、一重量統計模組(47)及一異常警告模組(48),以由該控制單元(3)連結該動物生長辨識人工智慧程式(4)之各模組運作,復使該控制單元(3)與一螢幕等顯示單元(5)相連結。First, please refer to the first and third figures, which are the animal growth identification method and system of the present invention, which mainly include a fixed unit (1), which is a bracket mounted above the breeding area, and at least one camera unit (2) is assembled on the fixed unit (1), and the camera unit (2) is equipped with at least two stereoscopic image lenses (21) and at least one thermal image lens (22), and also includes a control unit (3), which can be a desktop computer, a laptop computer or a tablet computer, etc., connected to the camera unit (2), and built in the control unit (3). An animal growth recognition artificial intelligence program (4) is provided. The animal growth recognition artificial intelligence program (4) includes a three-dimensional image contour construction module (41), a thermal image contour construction module (42), a contour correction module (43), a volume calculation module (44), a volume weight conversion ratio module (45), a weight calculation module (46), a weight statistics module (47) and an abnormal warning module (48). The control unit (3) is connected to the operation of each module of the animal growth recognition artificial intelligence program (4), and the control unit (3) is connected to a display unit (5) such as a screen.
據此,當本發明於使用實施時,請一併參閱第二圖所示,其實施步驟係包含:Accordingly, when the present invention is used and implemented, please refer to the second figure, and the implementation steps include:
A.拍攝影像畫面:係將該攝影單元(2)組設於該固定單元(1)上,而位於一養殖區域的上方位置,再使該攝影單元(2)拍攝該養殖區域一預設範圍內之雞、豬、牛等養殖動物(6),並將所拍攝到的動物(6)其立體視覺影像畫面及熱影像畫面等傳送至該控制單元(3);A. Shooting images: The photography unit (2) is installed on the fixed unit (1) and located above a breeding area, and then the photography unit (2) is allowed to shoot a preset range of the breeding area. Chickens, pigs, cows and other farmed animals (6) are stored in the farm, and the three-dimensional visual images and thermal images of the captured animals (6) are transmitted to the control unit (3);
B.建構影像輪廓:繼使該控制單元(3)內建之動物生長辨識人工智慧程式(4)所設立體影像輪廓建構模組(41)係利用3D點雲技術對該立體視覺影像畫面中的其一動物(6)建構其立體視覺輪廓(61),另使該熱影像輪廓建構模組(42)利用3D點雲技術對該熱影像畫面中之該其一動物(6)建構其熱影像輪廓(62):B. Constructing image contours: The three-dimensional image contour construction module (41) established by the animal growth recognition artificial intelligence program (4) built in the control unit (3) uses 3D point cloud technology to construct the stereoscopic visual image. One of the animals (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 of the one of the animals (6) in the thermal image. Image outline(62):
C.取得校正輪廓:請一併參閱第四圖所示,再由該輪廓校正模組(43)將所建構之該其一動物(6)的立體視覺輪廓(61)及熱影像輪廓(62)對應疊合,以獲得該動物(6)去除羽毛或毛髮等後之校正輪廓;C. Obtaining a corrected contour: Please refer to the fourth figure, and then the contour correction module (43) superimposes the constructed three-dimensional visual contour (61) and thermal image contour (62) of the one animal (6) to obtain a corrected contour of the animal (6) after removing feathers or hair, etc.;
D.計算動物體積:續由該體積計算模組(44)量測該校正輪廓的邊緣,以獲得該校正輪廓邊緣的平均深度,及該校正輪廓其各邊緣點像素〔pixel〕的深度與底面積,而後將其代入 之體積求解公式,其中,p為邊緣的平均深度、di為第i個像素的深度,而Ai為第i個像素的底面積,依此,以經由該動物(6)的校正輪廓計算求得該動物(6)的體積; D. Calculate the volume of the animal: The volume calculation module (44) measures the edge of the corrected contour to obtain the average depth of the corrected contour edge and the depth and bottom area of each edge pixel of the corrected contour, and then substitutes them into A volume solution formula is used, wherein 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, the volume of the animal (6) is calculated through the corrected outline of the animal (6);
E.取得體積重量換算比:隨之該體積重量換算比模組(45)係會辨識該動物(6)的品種、生長階段及生長季節等至少其中之一的條件因素,以輸出符合該等條件因素之體積重量換算比,該體積重量換算比係將符合該品種、生長階段及生長季節等條件因素之一般動物的實際重量藉由神經網絡計算後所獲得;E. Obtain the volume-to-weight conversion ratio: Then the volume-to-weight conversion ratio module (45) will identify at least one of the condition factors such as the species, growth stage, and growth season of the animal (6) to output an output that matches these conditions. The volume-to-weight conversion ratio of the conditional factors is obtained by calculating the actual weight of general animals that conforms to the species, growth stage, growing season and other conditional factors through the neural network;
F.計算動物重量:而後該重量計算模組(46)係將從該體積計算模組(44)所求得該動物(6)體積,代入該體積重量換算比模組(45)提供之符合該動物(6)其品種、生長階段及生長季節等條件因素的體積重量換算比後,即可計算求得該動物(6)的重量;F. Calculating the weight of the animal: The weight calculation module (46) then substitutes the volume of the animal (6) obtained from the volume calculation module (44) into the volume-to-weight conversion ratio provided by the volume-to-weight conversion ratio module (45) that is consistent with the species, growth stage and growth season of the animal (6), and then calculates the weight of the animal (6);
G.統計動物總重量:復將該攝影單元(2)所拍攝到之該養殖區域預設範圍內之數多動物(6)的重量逐個求出後,再由該重量統計模組(47)將該數多動物(6)的重量加總統計,以於該控制單元(3)連結之顯示單元(5)顯示其重量統計結果。G. Calculate the total weight of the animals: After calculating the weights of the plurality of animals (6) within the preset range of the breeding area photographed by the photographic unit (2), the weight statistical module (47) adds up the weights of the plurality of animals (6) and displays the weight statistical results on the display unit (5) connected to the control unit (3).
藉此,養殖業者即可準確得知該養殖區域之數多動物(6)的群體重量分布狀態,進而準確預估該養殖區域內動物(6)的最佳採收時間及飼料餵食天數,以達到有效節省飼料成本及提高養殖業者利潤等實質效益。另值得一提的是,本發明之動物生長辨識人工智慧程式(4)係設有一異常警告模組(48),而進一步包含有一異常警告步驟,當攝影單元(2)將所拍攝之動物(6)的熱影像畫面傳送至控制單元(3)時,該異常警告模組(48)係會辨識該熱影像畫面中動物(6)的體溫狀況,以與該動物(6)正常體溫進行比對,而判斷該動物(6)是否生病或死亡,若判斷該動物(6)生病或死亡時,則驅使該控制單元(3)於該顯示單元(5)上顯示一異常警告訊息,據此,以利養殖業者及時處置該生病或死亡動物,避免發生疾病蔓延等更大損失者。Thus, the breeder can accurately know the group weight distribution status of a large number of animals (6) in the breeding area, and then accurately estimate the best harvesting time and feed feeding days of the animals (6) in the breeding area, so as to achieve practical benefits such as effectively saving feed costs and increasing the profit of the breeder. It is also worth mentioning that the animal growth identification artificial intelligence program (4) of the present invention is provided with an abnormal warning module (48), and further includes an abnormal warning step. When the camera unit (2) transmits the thermal image of the animal (6) photographed to the control unit (3), the abnormal warning module (48) identifies the body temperature of the animal (6) in the thermal image to compare it with the normal body temperature of the animal (6) to determine whether the animal (6) is sick or dead. If it is determined 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), thereby facilitating the breeder to dispose of the sick or dead animal in time to avoid greater losses such as the spread of the disease.
前述之實施例或圖式並非限定本發明之動物生長辨識方法及其系統實施態樣,凡所屬技術領域中具有通常知識者所為之適當變化或修飾,皆應視為不脫離本發明之專利範疇。The aforementioned embodiments or drawings do not limit the animal growth identification method and system implementation aspects of the present invention. Any appropriate changes or modifications made by a person having ordinary knowledge in the relevant technical field should be deemed to be within the patent scope of the present invention.
由上述結構及實施方式可知,本發明係具有如下優點:It can be seen from the above structure and implementation that the present invention has the following advantages:
1.本發明之動物生長辨識方法及其系統係導入視覺計算養殖動物重量技術,可一次監控養殖區域一範圍內之數多養殖動物,藉此,即可準確獲得該養殖區域之數多動物的群體重量分布狀態,進而預估該等養殖動物的最佳採收時間及飼料餵食天數,以達到有效節省飼料成本等效益。1. The animal growth identification method and its system of the present invention introduces the technology of visual calculation of the weight of farmed animals, which can monitor a number of farmed animals within a range of the breeding area at one time, thereby accurately obtaining the information of the number of animals in the breeding area. Group weight distribution status, and then predict the best harvest time and feed feeding days of these farmed animals, in order to achieve effective savings in feed costs and other benefits.
2.本發明之動物生長辨識方法及其系統係拍攝有動物的熱影像畫面,以供辨識動物體溫狀況,進而判斷動物是否生病或死亡,以於發生異常時顯示警告訊息,據此,以利及時處置該生病或死亡動物,避免發生疾病蔓延等更大損失。2. The animal growth identification method and system of the present invention captures thermal images of animals to identify the animal's body temperature and further judge whether the animal is sick or dead, so as to display a warning message when an abnormality occurs, thereby facilitating timely disposal of the sick or dead animal to avoid greater losses such as the spread of the disease.
3.本發明之動物生長辨識方法及其系統係可辨識不同動物的品種、生長階段與季節等,以獲得對應的體積重量換算比,於此,即使於養殖場混養各種動物,亦可便利將混養的動物分開計算,以準確預估各種動物的生長與採收時間。3. The animal growth identification method and system of the present invention can identify the species, growth stage and season of different animals to obtain the corresponding volume-to-weight conversion ratio. Therefore, even if various animals are mixed in a farm, the mixed animals can be conveniently calculated separately to accurately estimate the growth and harvesting time of various animals.
綜上所述,本發明之實施例確能達到所預期功效,又其所揭露之具體構造,不僅未曾見諸於同類產品中,亦未曾公開於申請前,誠已完全符合專利法之規定與要求,爰依法提出發明專利之申請,懇請惠予審查,並賜准專利,則實感德便。To sum up, the embodiments of the present invention can indeed achieve the expected effects, and the specific structure disclosed has not only not been seen in similar products, but has also not been disclosed before the application. It has fully complied with the provisions of the patent law and If you apply for an invention patent in accordance with the law, please review it and grant a patent, which will be very convenient.
1:固定單元1: Fixed unit
2:攝影單元2: Photography unit
21:立體影像鏡頭21: Stereoscopic lens
22:熱影像鏡頭22: Thermal imaging lens
3:控制單元3: Control unit
4:動物生長辨識人工智慧程式4: Animal growth identification artificial intelligence program
41:立體影像輪廓建構模組41: Stereoscopic image outline construction module
42:熱影像輪廓建構模組42: Thermal image contour construction module
43:輪廓校正模組43: Contour correction module
44:體積計算模組44: Volume calculation module
45:體積重量換算比模組45: Volume to weight conversion ratio module
46:重量計算模組46: Weight calculation module
47:重量統計模組47: Weight Statistics Module
48:異常警告模組48: Abnormal warning module
5:顯示單元5: Display unit
6:動物6: Animals
61:立體視覺輪廓61: Stereoscopic Outline
62:熱影像輪廓62: Thermal Image Contour
第一圖:本發明之系統架構圖Figure 1: System architecture diagram of the present invention
第二圖:本發明之流程圖Second figure: flow chart of the present invention
第三圖:本發明之使用狀態圖Figure 3: Usage status diagram of the present invention
第四圖:本發明之立體視覺輪廓及熱影像輪廓疊合狀態圖Figure 4: The superimposed state diagram of the three-dimensional visual contour and the thermal image contour of the present invention.
2:攝影單元 21:立體影像鏡頭 22:熱影像鏡頭 3:控制單元 4:動物生長辨識人工智慧程式 41:立體影像輪廓建構模組 42:熱影像輪廓建構模組 43:輪廓校正模組 44:體積計算模組 45:體積重量換算比模組 46:重量計算模組 47:重量統計模組 48:異常警告模組 5:顯示單元 2: Photographic unit 21: Stereoscopic image lens 22: Thermal image lens 3: Control unit 4: Animal growth recognition artificial intelligence program 41: Stereoscopic image contour construction module 42: Thermal image contour construction module 43: Contour correction module 44: Volume calculation module 45: Volume weight conversion ratio module 46: Weight calculation module 47: Weight statistics module 48: Abnormal warning module 5: Display unit
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