US20200120899A1 - Monitoring Livestock - Google Patents
Monitoring Livestock Download PDFInfo
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- US20200120899A1 US20200120899A1 US16/560,286 US201916560286A US2020120899A1 US 20200120899 A1 US20200120899 A1 US 20200120899A1 US 201916560286 A US201916560286 A US 201916560286A US 2020120899 A1 US2020120899 A1 US 2020120899A1
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Definitions
- This invention relates to an apparatus for raising livestock which includes a confinement pen and more particularly to components which allow monitoring of the animals in the pen. In some arrangements this can be used for determining changes in behavior which might be associated with a change in characteristics of the animal. While the apparatus can particularly be used where the animals are raised for slaughter, the apparatus can also be used for animals can be raised for milk or eggs.
- the arrangement herein is primarily designed for use with pigs and poultry production where the animals are typically very tightly confined in an indoor barn but can be used for any animal husbandry.
- the term “animal” is of course intended to include poultry.
- an apparatus for raising livestock comprising:
- At least one first confinement pen defining a confinement area in which a group of members of the livestock are contained
- a camera system including one or more image generating cameras, the camera system being mounted at the confinement area and arranged to obtain one or more images of all parts of the confinement area in which the members of the group of livestock may enter;
- the camera system being arranged to repeatedly obtain said one or more images so that all of the members of the group of livestock in the confinement area are visible in said at least one image at all times;
- the processor uses the images to continually track each of the members and distinguish each member from the other members.
- This arrangement is therefore particularly designed for use in a barn where the animals are held together in groups rather than in individual pens.
- the processor is arranged to allocate to each of the members of the group of livestock in said one or more image an individual designation.
- the individual designation is preferably arbitrary so as to be independent of any physical or identification markings of the members of the group of livestock.
- the processor continually tracks each of the members and distinguishes each member from the other members by watching and tracking all members at all times. That is preferably the processor operates to generate data relating to movements of the individual members without having to mark or identify the individual members.
- the processor is arranged to use periodically data from an outside system that identifies the members to check and confirm that a member is correctly identified.
- the processor can operate to identify which members have been confused and reallocate the data collected to those respective members.
- the processor operates to check and confirm when the member is at a specific location in the confinement pen such as a feeding station.
- the processor is arranged to provide an indication on a display device to a worker identifying a specific designated member.
- the processor may provide an indication to the worker by defining an identification number.
- the processor may provide an indication to the worker by indicating to the worker in which pen of a plurality of pens forming the confinement area the member is located so that the worker is able to identify the member with his experienced eyes.
- the processor may communicate an identification of a member to a marking component that operates to mark the identified member.
- the processor may provide to the worker an interactive map of the confinement area in order to identify where an identified one of the members is located in real-time.
- an apparatus for raising livestock comprising:
- At least one confinement pen defining a confinement area in which a group of animals of the livestock are contained
- a camera system including a at least one image generating camera arranged to obtain one or more images of the animals;
- each tag having thereon a visible image which contains information for identifying the respective animal
- the processor being arranged to detect by image analysis of the image the information identifying the animal and thereby determine a location of the animal within the confinement pen.
- each animal has two ear tags each tag containing the image for identifying the respective animal but system using only one tag can be suitable
- the visible image containing the information identifying the animal comprises a tag number which is readily readable by a worker in the pen. having a numerical symbol thereon or alphanumeric symbols.
- QR codes and other machine readable information can be included or can be used instead of alpha numeric codes.
- At least one feeder having at least one feed dispensing trough for feed and/or water within the confinement pen and wherein the processor is arranged to identify an animal at the feeder.
- control system for controlling supply of feed and/or water to the trough of an amount or content which is tailored to the animal identified by said information.
- each animal may have two ear tags each tag having the numerical symbol thereon or the alphanumeric symbols for identifying the respective animal.
- the tag number is readily readable by a worker in the pen so that the number is not a bar code or other electronically decodable pattern.
- an apparatus for raising livestock comprising:
- At least one first confinement pen defining a confinement area in which a group of animals of the livestock are contained
- At least one feeder device having at least one feed dispensing trough for feed and/or water with an area for feeding one of the animals;
- a camera system including at least one camera mounted at the feeder and arranged to obtain images of the feeder;
- the processor is arranged to detect by image analysis of the image a quantity of feed and/or water in the feeder.
- the system is used at a feeder having at least one feed dispensing trough for feed and/or water within the confinement pen and the processor is arranged to identify an animal at the feeder using the tag reading system.
- control system for controlling supply of feed and/or water to the trough of an amount or content which is tailored to the animal identified from the tag number. Although the same system can be used without such tailored feeding system.
- the camera system can include a camera obtaining images of the trough and wherein the processor is arranged to detect by image analysis of the image a quantity of feed and/or water in the trough to determine whether the amount is within operating limits and to provide a signal in the event that the amount is outside the operating limits.
- the processor can be arranged to detect by image analysis of the image a quantity of feed in the trough.
- the feeder can be of the type which includes a water supply nipple for supplying water to the trough and the processor is arranged to detect by image analysis of the image whether the trough is filled with water or contains no water thus indicating a malfunction of the nipple.
- an animal guidance system controlling approach of the animals to the feeder so that each animal in turn is controlled by the guidance system and guided to the feeder to take feed and/or water and in this case the camera can be located to obtain images of the animal at the guidance system to read the tag to obtain the identity of the animal and if required tailor the feed to the identified animal.
- the processor can arranged to detect an amount of feed remaining in the trough after the particular animal has left the trough and to subtract from an amount of feed to be supplied to the trough for a next animal at the trough from an amount tailored for the next animal. That is, if a first animal chooses not to take a the supplied amount of the feed selected for that animal leaving a proportion in the trough, the system can detect that amount which remains and can deposit into the trough an amount which takes into account that remaining amount so that the next animal only receives the amount it is due to receive and not an extra amount caused by the previous animal leaving some feed. Also the amount left can be recorded and fed as an extra amount to the first animal when that animal returns to the feeder. In this way the amount of feed actually taken by the animals can be better monitored and controlled so that each animal receives the total amount over a time period to meets its requirements.
- the feeder is arranged to dispense a required quantity of feed to the animal in a plurality of doses and wherein the processor is arranged to detect whether a previous dose has been taken by the animal before dispensing another dose.
- the processor can be arranged also to provide output data relating to movement of a specific identified animal within the confinement pen.
- the processor can be arranged to provide an output indicative of the animal at a given position in the pen and feed that information to a tracking system.
- a pen containing a male animal and the processor is arranged to provide an output indicative of estrus in an identified animal by detecting the frequency at which a female visits the male.
- the processor can also be arranged to detect by image analysis a calculated weight of the identified animal. This can be used to monitor weight gain both to determine market weight and to tailor feed to maximize feed uptake efficiency.
- the systems disclosed herein can be used with feeders both of the type that have multiple spaces for feeding multiple pigs at the same time with connected troughs and single dedicated feeders typically but not necessarily used with tailored feed to the identified animal.
- the tag reading can be mostly useful for animal identification around feeders and drinkers, but it could also be used at other locations for which it is desired to identify the individual animal for taking other individual decisions or get other individual data.
- One such application is estrus detection from monitoring the frequency at which the sow in pen housing visits the boar pen.
- Another example could be to simply identify the animal at a given position in the pen and feed that information to a tracking system.
- Trough monitoring can also be used not only for tailoring the diet for each individual animal. It can also be used to raise alerts to workers in case a trough is empty when it should have some feed, that is the feeding system may not have worked properly. It could also be used to identify water nipple problems if the trough is full of water for instance or empty of water. These two examples could happen even in non-individual feeding settings such as with feeders that have multiple spaces for feeding multiple pigs at the same time with connected troughs.
- the systems herein also disclose an apparatus for raising livestock comprising:
- At least one first confinement pen defining a confinement area in which a group of members of the livestock are contained
- a camera system including one or more image generating cameras, the camera system being mounted at the confinement area and arranged to obtain one or more images of all parts of the confinement area in which the members of the group of livestock may enter;
- the camera system being arranged to repeatedly obtain said one or more images so that all of the members of the group of livestock in the confinement area are visible in said at least one image at all times;
- the processor being arranged to allocate to each of the members of the group of livestock in said one or more image an individual designation
- processor continually tracks each of the members and distinguishes each member from the other members by watching and tracking all members at all times.
- the processor operates to generate data relating to movements of the individual members entirely without having to mark or otherwise identify the individual members and to provide a system which is responsive to the identification. It will be appreciated that, even if there is a marking system used in the group to tag or mark animals, the arrangement described herein can and typically does operate without the need ever to consult that system. However in some cases the processor is arranged to use periodically data from an outside system that identifies the members to check and confirm that a member is correctly identified, as some errors can occur.
- the processor is arranged to identify which members have been confused and reallocate the data collected to those respective members.
- the processor can operate to check and confirm the identification when the member is at a specific location in the confinement pen such as a feeding station.
- the processor is arranged to provide an indication to a worker identifying a specific designated member of the group. This can be done in a number of different ways depending on the mode of operation of the system.
- the processor can provide an indication to the worker by defining an identification number from the separate identification system which can be identified by the worker and the animal with that number found.
- the processor provides an indication to the worker by indicating to the worker in which pen of a plurality of pens forming the confinement area the member is located so that the worker is able to identify the member with his experienced eyes.
- the total number of animals in the confinement area are separated into individual pens of a few animals so that the identification of the pen is sufficient to allow the worker to use his experience to locate the animal showing the signs of the condition detected.
- the processor communicates an identification of a member with component that operates to mark the identified member, for example at a feeding station, using a colored or visual indication marker.
- a paint dabber or spray can be located at the feeder station and operated when the animal concerned is at the station.
- the processor is arranged to provide to the worker an interactive map of confinement area in order to identify where the identified member is located in real-time.
- the processor is arranged to generate for each member one or more of the following sets of data:
- Position of each member which can be obtained continually in real time or can be established by repeated periodic analysis of the data to provide periodic information about the position.
- Velocity of each member which again can be continuous or periodic.
- Posture of different parts of the member which again can be continuous or periodic.
- Energy level of the member which again can be continuous or periodic.
- the processor is arranged to generate for a subgroup of the members one or more of the following sets of data:
- Energy level of the subgroup of members which again can be continuous or periodic.
- Average velocity of the subgroup which again can be continuous or periodic.
- the confinement area can be, in an important independent aspect of the invention herein, subdivided into different areas including a feeding area a drinking area, a rest area and the data relating to all of the animals in these areas can be analyzed to get individual or group data for any one of these specific areas.
- analysis of the behavior of the animals when in these areas can reveal information about the condition of the animals which would not be determined by an analysis of their average activities when moving throughout the confinement area.
- the data obtained can be, in an important independent aspect of the invention herein, used by detecting the envelope of the image or by analyzing specific marking within the image to estimate the weight from each animal with the same camera system and assign this weight to the animal that is being tracked with our system.
- Other metrics in an important independent aspect of the invention herein, such as body condition, fighting marks, etc. can also be obtained. These will not be obtained from behavior metrics, but will use the same cameras to detect the envelope of the image and/or markings within the image and can also be associated to a specific animal.
- the data from these analyses for each of the animals of the group can be used to detect diseases, management problems, climate control problems, reproduction events, aggression events, etc.
- the confinement area comprises a pen or a set of pens in which the livestock remain contained until required to be transported for transfer as part of a purchase of the group.
- the confinement pen includes one or more feeding systems so that the livestock remain contained in the pen.
- the processor is arranged for analyzing the images from the confinement pens to generate a detected number or count of the livestock in the confinement area.
- the processor is arranged for analyzing the images from the plurality of confinement pens to generate detected number of livestock in the group in each respective confinement pen and also acts to repeatedly generate inventories containing the detected number of livestock in each pen and the detected number of the total of livestock in all the pens in the confinement area so that the number of livestock extracted and the number of livestock transferred from one pen to another pen are included in the inventories.
- the processor automatically provides an inventory of livestock removed from the pens to be extracted such as when dead of seriously ill and the number of livestock transferred from one pen to another pen and livestock added to the pens.
- the inventory comprises an accounting document for use in purchase of the group.
- the confinement area is larger than can be imaged by a single camera and wherein a plurality of cameras is provided with the images being integrated to allow counting of the total number of livestock in the pen.
- the camera is mounted on a ceiling of the confinement area at a fixed position.
- the camera is removable from its mount and communicates wirelessly so can be moved to another mount at another pen.
- the processor is able to distinguish humans from the livestock.
- the livestock comprises pigs or poultry.
- the arrangement described herein also can be used in an apparatus for raising livestock comprising:
- an alleyway connected to and extending between the confinement pens
- each of the confinement pens having least one camera mounted thereat so that all of the group of livestock in the respective confinement pens can be captured on at least one image;
- processors for analyzing the images from the confinement pens, the processor being arranged to generate an detected number of livestock in the group in each respective confinement pen;
- inventories containing the detected number of livestock in each pen and the detected number of the total of livestock in all the pens so that the number of livestock extracted and the number of livestock transferred from one pen to another pen are included in the inventories.
- the arrangement described herein also can be used in an apparatus for raising livestock comprising:
- the confinement pen comprises a pen in which the livestock remain contained until required to be transported for transfer as part of a purchase of the group;
- the confinement pens having least one camera mounted thereat so that all of the group of livestock in the confinement pen can be captured on at least one image;
- a processor for analyzing the images from the confinement pen the processor being arranged to generate an detected number of livestock in the group in the confinement pen;
- the pen is larger than can be imaged by a single camera and wherein a plurality of cameras is provided with the images being integrated to allow counting of the total number of livestock in the pen.
- the arrangement described herein also can be used in a method for raising livestock comprising:
- the processor being arranged to generate an detected number of livestock in the confinement pen
- the portion of the alleyway comprises a full width of the alleyway.
- the confinement pen comprises a pen in which the livestock remain contained until required to be transported for transfer as part of a purchase of the group.
- the confinement pen includes one or more feeding systems so that the livestock remain contained in the pen.
- the pen may therefore be divided into separate sections of resting, feeding and waste but in the arrangement herein, the animals are visible and detected in all of the sections so that they can be tracked throughout.
- the remote location to which the animals are transferred though the alleyway comprises a transport container.
- the remote location can comprises another confinement pen.
- the inventory comprises an accounting document for use in purchase of the group.
- the inventory can be printed image from the processor or may form a display on a suitable screen.
- the inventory is a real thing which can be accessed and studied by the worker to provide data for management of the livestock operation.
- the portion of the alleyway has a width such that the livestock can pass at least two abreast and can turn to move in an opposite direction against the direction of travel without any restriction thereto so that when counting is carried out in the alleyway the processor of the image has to take into account these different movements of the animals.
- the animals are not confined by any part of the alleyway to movement in a single row in a single direction.
- the processor includes a register which counts a first intermediate number of livestock in an initial group and continues to count the livestock from a second group to provide both intermediate numbers and a subsequent total.
- the processor is arranged to generate an alarm after reaching a predetermined number of livestock.
- the system allows to play back a previous counting session video for quality insurance or in case of dispute resolution.
- the images can be integrated by stitching the images as one bigger image and then analyzing this image.
- the images are integrated by analyzing the content of each image independently and then changing the coordinate system of the different cameras into a global coordinate system.
- the arrangement herein is designed to address the recurring challenge of counting pigs and made it the first tool that automatically and reliably counts pigs without human intervention. It uses state-of-the-art computer vision algorithms to count pigs in real time without even having to think about it.
- the arrangement herein provides the first artificial intelligence-powered vision system designed to help pig producers with the daily task of counting pigs. It is made of one or multiple cameras, a computation module, and a simple smartphone/tablet user interface. It can be used in corridors for automatic counting of moving pigs through a virtual line or above pens or other defined areas for instant counting or inventory purposes.
- the arrangement is designed to address the recurring challenge of counting pigs and made it the first tool that automatically and reliably counts pigs without human intervention. It uses state-of-the-art computer vision algorithms to count pigs in real time without even having to think about it.
- the arrangement uses fixed hardwired cameras or battery-powered mobile cameras that can be easily moved from a counting area to another. It uses artificial-intelligence algorithms to analyze live video streams and returns in real-time the number of pigs moving through a virtual line or the instantaneous number of pigs in a designated area. Its simple mobile user interface allows to easily choose between dynamic counting or instantaneous counting. When in dynamic counting mode, all pigs going through a virtual line are counted positively and all pigs going back are counted negatively. Humans are not detected as pigs and are therefore not mistakenly counted as animals.
- the user can visualize the counting area and the number of pigs at any time, register intermediate numbers of pigs, set alarms to ring after reaching a certain number of pigs, and generate reports about the reception/shipment of the pigs.
- the system allows to play back the last counting session videos for quality insurance or in case of dispute resolution.
- the arrangement herein reduces the need to handle animals for counting purposes, thus improving animal welfare and worker safety. It allows animal handlers to better focus on their work and avoid being distracted by the demanding task of counting the animals.
- an apparatus for raising livestock comprising:
- a farrowing pen defining a sow confinement area for a sow and at least one piglet confinement area for piglets born from the sow;
- a feeder device having at least one feed dispensing trough for feed and/or water to the sow;
- a camera system including at least one camera mounted at the farrowing pen and arranged to obtain images of the farrowing pen including the sow confinement area and said at least one piglet confinement area;
- the processor is arranged to obtain from the images data related to birth of piglet and to provide said data to the output communication system. This can be carried out where the data is obtained by observing in the image the presence of piglets in the farrowing pen. Alternatively the data can be obtained by detecting changes in positions and/or demeanour of the sow in the farrowing pen.
- the processor is arranged to detect by image analysis of the image a quantity of feed and/or water in the feeder.
- the processor is arranged to calculate from the images and provide to the worker a body condition score of the sow repeatedly during a period of residence of the sow in the farrowing pen.
- the processor can be arranged to modify an amount of feed supplied to the feeder in response to detected changes in body condition score.
- the processor is arranged to detect by image analysis of the image a quantity of feed and/or water in the trough to determine whether the amount is within operating limits and to provide a signal in the event that the amount is outside the operating limits.
- the feeder is arranged to dispense a required quantity of feed to the animal in a plurality of doses and wherein the processor is arranged to detect whether a previous dose has been taken by the animal before dispensing another dose.
- the processor is arranged to detect from the images a location of at least one of the piglets in a crushing position underneath the sow. The crushing location can be observed by detecting a missing one of the piglets from the image indicating that one is underneath the sow.
- a sound detector for detecting a scream from a piglet being crushed and for communicating sound data to the processor to provide an indication of a crushed piglet.
- the processor can be arranged to use both the sound data and image analysis of the images for providing a determination of a crushed piglet. Also the processor can be arranged to use the sound data to trigger an analysis of an image to determine the crushing of a piglet.
- FIG. 1 is schematic plan illustration of a first embodiment of an apparatus according to the present invention.
- FIG. 2 is schematic plan illustration of a second embodiment of an apparatus according to the present invention.
- FIG. 3 is schematic plan illustration of a third embodiment of an apparatus according to the present invention.
- FIG. 4 is schematic plan illustration of a fourth embodiment of an apparatus according to the present invention.
- FIG. 5 is a flow chart showing the operation of the processing system in schematic form.
- FIG. 6 is a plan view of a feeder of the type where the animals are guided to a single stall type feeder in an orderly line up allowing the stall to be used to tailor feed to the identified animal.
- FIG. 7 is a top plan view of a confinement area including the camera system of the present invention.
- FIG. 8 is a plan view of a farrowing crate using the image analysis system of the present invention.
- FIG. 1 shows an apparatus for raising livestock for slaughter with a first confinement pen 10 in which a group of the livestock are contained and an alleyway 11 for transferring the group of livestock between the confinement pen 10 and a transport container in a direction of travel therebetween.
- the alleyway is typically relatively complex with doorways 13 and 14 into the pen itself and between the alleyway and the exterior of the building where the transport container is located.
- the alleyway can include exterior components 11 A outside the doorway 14 to direct the animals to the container 12 .
- the animals are directed from the container 12 to the pen depending on whether the animals are being delivered to a finishing location or from that location to market.
- the system can also be used to count animals going out of a breeding farm. Then the same animals can be counted again when going into a finishing location.
- the alleyway has a width such that the livestock can pass at least two abreast and can turn to move in an opposite direction against the direction of travel. That is the alleyway is designed to allow transportation of various equipment so that its dimensions are determined by the requirements rather than as a single path for single animals to move to the container 12 . Thus the animals which are very nervous at this time can be moving in all directions and can turn and run back if sufficiently troubled.
- a camera 17 is mounted at the alleyway to obtain images of a portion 11 B of the alleyway or of the whole alleyway including any livestock in the alleyway.
- a processor 15 is provided for analyzing the images, the processor being arranged by the method disclosed below to generate an detected number of livestock in the group which have moved through the alleyway when the group has completed the movement from the confinement pen to the remote location.
- the processor takes into account livestock which are side by side and livestock which are moving in the opposite direction before all livestock of the group complete their movement between the confinement pen and the remote location.
- An output from the processor 15 is provided to and entered into an inventory 16 so that the detected number previously calculated is recorded.
- the processor operation goes as follows:
- Each animal is detected in a first frame of the video stream with the help of a deep neural network (could be a different type of model or algorithms in the future).
- a bounding box is drawn around each detected animal in the image. For counting animals in pens, we simply report the number of animals detected or the average over a few frames. For counting in a corridor, continue to the next steps.
- Each animal is detected in the second frame as for the first frame.
- the algorithm statistically determines which animal bounding box detected in the second frame is the most likely associated to each animal bounding box of the previous frame. This association can be based on previous knowledge about animal speed and acceleration, bounding box size (related to animal size), similarity between animals, among others. Once association is made, we trace a line between the center of the first bounding box and the center of the second.
- One or several virtual counting lines are positioned perpendicular to the direction of the animals (corridor). Each animal track that crosses a counting line in the direction of counting adds 1 to the counter. Each animal track that crosses a counting line in the opposite direction removes 1 from the counter.
- Processing can be done in real time or not. We prefer in real time but could also be done a posteriori.
- a plurality of cameras can be arranged to cover the whole area.
- an algorithm will take care of integrating the different images such that their content is considered to be from a single image. This can be done by stitching the images as one bigger image and then analyze this image (animal detection) or by analyzing the content of each image (animal detection) independently and then changing the coordinate system of the different cameras into a global coordinate system to perform the next steps.
- FIG. 2 a modified apparatus for raising livestock for slaughter which includes in a barn 20 a plurality of confinement pens 21 to 26 in which groups of the livestock are contained.
- An alleyway 27 is connected to and extends between the confinement pens so that workers are allowed to remove livestock from the confinement pens either to be extracted from the pens to be discarded outside the barn in the event of death or severe illness or to be transferred from one to another of the confinement pens.
- a counting system which repeatedly generates inventories containing the detected number of livestock in each pen and the detected number of the total of livestock in all the pens so that the number of livestock extracted and the number of livestock transferred from one pen to another pen are included in the inventories.
- the inventory is therefore adjusted according to the animals seen in the pens only.
- This system can use cameras only in pens without imaging in the alleyways. However imaging in the alleyways to obtain also direct information on the transfers.
- each of the confinement pens includes at least one camera 17 so that all of the group of livestock in the respective confinement pens can be captured on at least one image and the processor 15 for analyzing the images from the confinement pens, the processor being arranged to generate an detected number of livestock in the group in each respective confinement pen.
- FIG. 3 a modified apparatus for raising livestock for slaughter which includes a barn 30 defining one large confinement pen in which a group of the livestock is contained.
- This arrangement is typically used for poultry where the whole barn is filled with one batch and the livestock in the batch remain contained until required to be transported for transfer as part of a purchase of the group or for dead animal removal.
- the pen is larger than can be imaged by a single camera and hence a plurality of cameras is provided with the images being integrated to allow counting of the total number of livestock in the pen.
- the processor continually tracks each of the animals and distinguishes each animal from the other animals by watching and tracking all animals at all times.
- the tracking of the animals is indicated for animal A at 54 and for each of the other animals as Animal B to Animal X.
- the processor operates at step 55 to generate data relating to posture of the animal including lying and standing but also other postures.
- the processor operates at step 57 to generate data relating to body movements of the individual animals either while stationary or during travelling movements.
- the processor operates at step 58 to generate data the specific location of the individual animal.
- the information is fed back to the tracking step 53 to re-allocate the correct identity to the two confused animals so that their own properly allocated movements can be tracked as in steps 55 , 56 , 57 and 58 .
- the display 43 is used by the processor to provide an indication to a worker identifying a specific designated animal for the worker to carry out a required process on that animal depending on the condition detected from the above analysis steps. This can be done by providing an indication to the worker by defining an identification number when this is obtained from the above outside identification system.
- the step 61 can be carried out simply where the processor provides an indication to the worker by indicating to the worker in which pen of a plurality of pens forming the confinement area the member is located so that the worker is able to identify the member visually since the condition identified is typically readily visible to the trained worker who is instructed where generally to look for the animal concerned.
- the processor is arranged to provide to the worker an interactive map at step 65 of the confinement area in order to identify where the identified animals are located in real-time. This allow the worker to visually identify the animal to be extracted.
- the processor is arranged to generate for a subgroup of the animals one or more of the following sets of data:
- the processor is arranged so that the data is used to detect diseases, management problems, climate control problems, reproduction events, aggression events, etc which can then be communicated to the worker to take action which may be carried out on the group as a whole or may require individual animal identification as set out above.
- the confinement area can be subdivided into different areas including a feeding area a drinking area and a rest area and the data relating to all of the animals in these areas can be analyzed as indicated at to get individual or group data for any one of these specific area.
- analysis of the behavior of the animals when in these areas can reveal information about the condition of the animals which would not be determined by an analysis of their average activities when moving throughout the confinement area.
- FIGS. 6 and 7 there is shown an apparatus for raising livestock which includes the confinement pen 30 defining a confinement area in which a group of animals of the livestock are contained.
- the camera system of the type previously described includes the cameras 72 located generally in the area of the confinement pen and cameras 73 at the feeder 40 .
- the feeder shown in FIG. 7 is of the multi-compartment type where the animals are not individually fed but take feed at their own volition from one of the compartments when it becomes available.
- 6 is of the type which includes a single feeder location where the animals are controlled to enter along a guidance system 74 with control gates 75 which allow one animal at a time to enter with others being confined in a line-up and prevented from interfering with the animal at the stall.
- the camera system includes a at least one image generating camera and typically a series of such cameras 72 , 73 and camera 76 at the stall or guidance system all arranged to obtain images of the animals.
- Each animal has two of the ear tags shown in FIG. 8 with each tag having the same numerical symbol or alphanumeric symbols thereon for identifying the respective animal. This allows identification of the animal from either direction depending on how it is standing at the location concerned.
- the feeder 40 has at least one feed dispensing trough 401 for feed and/or water and a water dispenser 402 for discharging water into the trough where the nipple is typically animal actuated to supply a desired amount.
- the feed and water are typically discharged into the same trough to be taken together but this is not essential in the present invention and the troughs may be separate or even at different locations.
- FIG. 6 there is provided a control system 761 for controlling supply of feed by a feed dispenser 762 and/or water by a valve 763 to the trough of an amount or content which is tailored to the animal identified from the tag number with the feeder control system incorporating or being part of the system which identifies the animals from the tags or from their image as previously described.
- the processor is arranged to detect by image analysis of the image a quantity of feed and/or water in the trough to determine whether the amount is within operating limits and to provide a signal in the event that the amount is outside the operating limits.
- the processor is arranged to detect by image analysis of the image a quantity of feed in the trough to ensure that the system is not empty or mis-functioning.
- Another key feature is used where the water supply is by way of an animal actuated nipple for supplying water to the trough where the processor is arranged to detect by image analysis of the image whether the trough is filled with water indicating a malfunction of the nipple itself or one or more of the animals introducing too much water as an entertainment rather than a feeding process. That is the presence of too much water can cause the remaining animals to stop feeding which should be corrected as soon as possible with the present water detection system allowing the worker to take action from a warning signal from the system.
- the feeder includes the animal guidance system controlling approach of the animals to the feeder so that each animal in turn is controlled by the guidance system and guided to the feeder to take feed and/or water.
- the camera is located at a suitable position to obtain images of the animal at the guidance system or at the feeder itself since this can be used with the controller of the feeder to manage the supply to the individual identified.
- the processor is arranged to detect an amount of feed remaining in the trough after the particular animal has left the trough.
- the processor 761 then subtracts that amount from an amount of feed supplied to the trough for a next animal at the trough. That is, if a first animal chooses not to take the supplied amount of the feed selected for that animal leaving a proportion in the trough, the system detects that amount which remains and deposits into the trough an amount which takes into account that remaining amount so that the next animal only receives the amount it is due to receive and not an extra amount caused by the previous animal leaving some feed.
- the processor is arranged to provide output data at the display 43 relating to movement of a specific identified animal within the confinement pen.
- the processor is arranged to provide an output at the display 43 indicative of the animal at a given position in the pen and feed that information to a tracking system.
- FIG. 8 there is shown an apparatus comprising a farrowing pen 80 which typically is one of a row of such pens each containing a sow which is transferred to the pen when birth is expected.
- the pen defines a sow confinement area 81 for containing the sow and two piglet confinement areas 82 for piglets born from the sow.
- the piglet areas are arranged so that the sow is prevented from lying in these areas.
- the piglets remain in the pen from birth through to weaning when all are removed form the pen for another gestation cycle.
- a warmer mat or warming area 83 is provided in the piglet area or areas to attract the piglets away from the sow area to reduce the risk of crushing.
- a feeder 84 is provided at the front of the sow area with a trough 85 supplied by a feed supply system 86 and a water dispensing nozzle 87 is provided with a control nipple to allow the sow to take water at will.
- the supply system 86 is preferably arranged to supply a controlled amount of feed to the sow depending on a control program to ensure sufficient intake per day.
- the system further includes a camera system 88 including at least one camera 89 mounted at the farrowing pen and arranged to obtain images of the farrowing pen including the sow confinement area and the piglet confinement areas.
- the processor 90 for analyzing the images.
- the processor can be stand-alone or may be part of another processor carrying out other functions or may be part of a system.
- This communicates with an output communication system 91 for communicating to a worker data related to information obtained from the images.
- This processor or the system of which it is a part also communicates to the feeder supply system 86 .
- the camera system includes a microphone 92 for receiving sounds from the farrowing crate.
- the processor is arranged to obtain the images from the camera and sound from the microphone and to carry out image analysis to generate information therefrom relating to:
- the processor is arranged to provide an output to the worker either as an immediate call for action warning or as long term data of the conditions above and to modify an amount of feed supplied to the feeder in response to detected changes in body condition score.
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Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2021257925A1 (en) * | 2020-06-18 | 2021-12-23 | Board Of Regents Of The University Of Nebraska | Materials and methods for long-term tracking of group-housed livestock |
US11602132B2 (en) | 2020-10-06 | 2023-03-14 | Sixgill, LLC | System and method of counting livestock |
US11910784B2 (en) | 2020-10-14 | 2024-02-27 | One Cup Productions Ltd. | Animal visual identification, tracking, monitoring and assessment systems and methods thereof |
Families Citing this family (24)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP7151723B2 (ja) * | 2017-12-28 | 2022-10-12 | 味の素株式会社 | 給餌管理システムおよび給餌管理方法 |
US11937580B2 (en) * | 2019-02-05 | 2024-03-26 | Wisconsin Alumni Research Foundation | Computer vision-based feeding monitoring and method therefor |
NL2023104B1 (en) * | 2019-05-10 | 2020-11-30 | Lely Patent Nv | Ruminant animal monitoring system |
US11176357B2 (en) * | 2019-10-30 | 2021-11-16 | Tascent, Inc. | Fast face image capture system |
US11222198B2 (en) * | 2019-11-21 | 2022-01-11 | International Business Machines Corporation | Video analysis system for optimizing an activity protocol |
CN111680551B (zh) * | 2020-04-28 | 2024-06-11 | 平安国际智慧城市科技股份有限公司 | 监控牲畜数量的方法、装置、计算机设备及存储介质 |
US11263454B2 (en) * | 2020-05-25 | 2022-03-01 | Jingdong Digits Technology Holding Co., Ltd. | System and method for video-based pig counting in the crowd |
KR102479055B1 (ko) | 2020-08-13 | 2022-12-20 | 한국전자통신연구원 | 가축의 에지 정보를 이용한 축사 내 가축 모니터링 시스템 및 방법 |
CN112036817B (zh) * | 2020-08-24 | 2023-12-22 | 新希望六和股份有限公司 | 牲畜信息处理方法、装置、计算机设备 |
USD1004046S1 (en) * | 2020-10-08 | 2023-11-07 | Carolina Moldings, Inc. | Pest barrier |
CN112320240B (zh) * | 2020-11-09 | 2022-08-30 | 广州市金宝生态农业有限公司 | 组合式转运车 |
CN112320239B (zh) * | 2020-11-09 | 2022-08-23 | 广州市金宝生态农业有限公司 | 活动式自动分栏转运车 |
CN112544490B (zh) * | 2020-12-09 | 2022-06-03 | 王翔 | 一种养猪行为分析装置 |
WO2022147534A1 (en) * | 2021-01-04 | 2022-07-07 | Realmfive, Inc. | Preventative failure for agricultural applications |
FR3119473A1 (fr) * | 2021-01-29 | 2022-08-05 | Evel'up | système d’analyse comportementale pour l’élevage animal |
FR3119309A1 (fr) * | 2021-01-29 | 2022-08-05 | Evel'up | système d’analyse comportementale pour l’élevage animal |
EP4287826A1 (en) * | 2021-02-02 | 2023-12-13 | Signify Holding B.V. | System and method for analyzing mating behavior of an animal species |
US11497191B1 (en) * | 2021-04-30 | 2022-11-15 | Limin' Innovations LLC | Systems and methods for continuous livestock supply |
KR20240051974A (ko) * | 2021-08-20 | 2024-04-22 | 그루페 로-메인 인코포레이티드 | 수정을 위한 동물의 발정 감지 |
CN114067364B (zh) * | 2021-11-23 | 2023-10-03 | 江苏省家禽科学研究所 | 一种基于图像采集的鸡只自动称重装置 |
IL289512B (en) * | 2021-12-30 | 2022-04-01 | Allflex Australia Pty Ltd | A system and method for tracking members of an animal population |
TWI799273B (zh) * | 2022-05-19 | 2023-04-11 | 國立中興大學 | 利用視覺演算法進行雞舍智能偵測移除系統 |
SE2251335A1 (en) * | 2022-11-14 | 2024-05-15 | Smart Agritech Solution Of Sweden Ab | Method for surveillance and analysis of farm animals and arrangements for such surveillance and analysis |
CN116258405B (zh) * | 2023-02-08 | 2024-02-02 | 南京农业大学 | 一种基于双路网络的母猪体况自动评分系统 |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US5416330A (en) * | 1992-11-18 | 1995-05-16 | Technology International Incorporated | Radiation monitoring system for containers, livestock, and foodstuff |
US5474085A (en) * | 1994-02-24 | 1995-12-12 | University Of Prince Edward Island | Remote thermographic sensing of livestock |
US20160363692A1 (en) * | 2015-06-10 | 2016-12-15 | Ace/Avant Concrete Construction Co., Inc. | Optical livestock counting system and method |
US20190281799A1 (en) * | 2018-03-17 | 2019-09-19 | Ovipost, Inc. | Methods and systems for insect farming |
US20190385332A1 (en) * | 2016-12-08 | 2019-12-19 | Sony Corporation | Display control device, display control method, and program |
Family Cites Families (45)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JPS5018936Y2 (hu) * | 1972-06-02 | 1975-06-09 | ||
US5050537A (en) | 1990-05-01 | 1991-09-24 | Fox Harvey Z | Automatic animal feeding system |
JP2574069B2 (ja) * | 1991-01-28 | 1997-01-22 | 株式会社クボタ | 家畜用の飼育場 |
US6216053B1 (en) | 1992-11-09 | 2001-04-10 | Lextron, Inc. | Apparatus and method for uniformly delivering feed rations along a feedbunk using global positioning system |
US6901369B2 (en) * | 1992-11-09 | 2005-05-31 | Lextron, Inc. | Satellite based global positioning system for feedlot computer network and method |
US6032084A (en) * | 1992-11-09 | 2000-02-29 | Lextron, Inc. | System for carrying out and managing animal feedlot operations using coordinate acquisition techniques |
JP3792752B2 (ja) * | 1995-07-19 | 2006-07-05 | 松下電器産業株式会社 | 動物頭数管理システム |
US6678413B1 (en) * | 2000-11-24 | 2004-01-13 | Yiqing Liang | System and method for object identification and behavior characterization using video analysis |
SE0203580D0 (sv) * | 2002-12-03 | 2002-12-03 | Delaval Holding Ab | An apparatus for detecting animals |
JP2005100002A (ja) | 2003-09-24 | 2005-04-14 | Yokogawa Electric Corp | 生産物トレーサビリティシステム |
US7900587B2 (en) * | 2004-09-28 | 2011-03-08 | Jon Davis Mollhagen | Livestock moving system and method |
US7681527B2 (en) * | 2005-01-19 | 2010-03-23 | Micro Beef Technologies, Ltd. | Method and system for tracking and managing animals and/or food products |
US7447334B1 (en) * | 2005-03-30 | 2008-11-04 | Hrl Laboratories, Llc | Motion recognition system |
CA2501894C (en) * | 2005-04-12 | 2013-01-08 | Conception Ro-Main Inc. | Birth monitoring method for piglets |
JP4219381B2 (ja) | 2005-11-29 | 2009-02-04 | ヨシモトポール株式会社 | 飼育動物個体群の管理システム |
US20070137584A1 (en) | 2005-12-16 | 2007-06-21 | Travis Bryan R | System for monitoring animal feed consumption |
WO2007129917A1 (en) * | 2006-05-10 | 2007-11-15 | Say Systems Ltd | Animal monitoring system |
DE202006007875U1 (de) | 2006-05-15 | 2007-09-20 | Big Dutchman International Gmbh | Eierzählsensor |
CA2675983C (en) | 2007-01-21 | 2015-06-23 | Gt Acquisition Sub, Inc. | Animal management system including radio animal tag and additional transceiver(s) |
CA2578619A1 (en) * | 2007-01-31 | 2008-07-31 | Conception Ro-Main Inc. | Birth monitoring system for piglets |
US7787656B2 (en) * | 2007-03-01 | 2010-08-31 | Huper Laboratories Co., Ltd. | Method for counting people passing through a gate |
JP2009027651A (ja) | 2007-07-23 | 2009-02-05 | Sony Corp | 監視システム、監視カメラ、監視方法および監視プログラム |
DE102007036294A1 (de) * | 2007-07-31 | 2009-02-05 | Gea Westfaliasurge Gmbh | Vorrichtung und ein Verfahren zum Bereitstellen von Informationen über Tiere beim Durchlaufen eines Tierdurchganges |
US8307785B2 (en) * | 2008-05-23 | 2012-11-13 | C-Lock, Inc. | Method and system for monitoring and reducing ruminant methane production |
US7966971B2 (en) * | 2008-05-23 | 2011-06-28 | C-Lock Inc. | Method and system for monitoring and reducing ruminant methane production |
CN201911162U (zh) * | 2010-11-22 | 2011-08-03 | 达希 | 一种清点牲畜的自动计数装置 |
US8949034B2 (en) * | 2011-03-17 | 2015-02-03 | Technologies Holdings Corp. | System and method for health monitoring using real-time location |
US9058657B2 (en) * | 2011-04-28 | 2015-06-16 | Technologies Holdings Corp. | System and method for filtering data captured by a 3D camera |
US20130340305A1 (en) | 2012-06-13 | 2013-12-26 | nMode Solutions, Inc. | Tracking and monitoring of animals with combined wireless technology and geofencing |
US8915215B1 (en) * | 2012-06-21 | 2014-12-23 | Scott A. Helgeson | Method and apparatus for monitoring poultry in barns |
CN103093274B (zh) * | 2012-12-30 | 2016-06-29 | 信帧电子技术(北京)有限公司 | 基于视频的行人计数的方法 |
EP2983465B1 (en) | 2013-04-10 | 2020-10-14 | Viking Genetics FmbA | System for determining feed consumption of at least one animal |
US10743517B2 (en) | 2013-06-19 | 2020-08-18 | Radio Systems Corporation | Networked automatic animal feeding system |
NL2011413C2 (nl) * | 2013-09-10 | 2015-03-12 | Lely Patent Nv | Veevoerwagen. |
NL2012893B1 (nl) * | 2014-05-27 | 2016-06-08 | Lely Patent Nv | Werkwijze en systeem voor het beheren van melkdieren. |
CN103985182B (zh) * | 2014-05-30 | 2016-04-20 | 长安大学 | 一种公交客流自动计数方法及自动计数系统 |
NL2014622B1 (en) * | 2015-04-13 | 2017-01-20 | Lely Patent Nv | System and method to carry out a first stable floor related action. |
CN107820616A (zh) * | 2015-07-01 | 2018-03-20 | 维京遗传学Fmba | 用于基于背部图像来识别个体动物的系统和方法 |
US9877459B2 (en) * | 2015-07-14 | 2018-01-30 | Conception Ro-Main Inc | Piglet drying apparatus |
US20170202185A1 (en) * | 2016-01-18 | 2017-07-20 | Dinklage Feed Yards, Inc. | Unmanned livestock monitoring system and methods of use |
KR101806521B1 (ko) * | 2016-06-08 | 2017-12-07 | (주)에코비즈 | 열화상 카메라를 이용하는 가축의 방역 시스템 |
JP2020503064A (ja) * | 2016-12-14 | 2020-01-30 | ハーデックス インク | 家畜管理 |
CN107182830A (zh) * | 2017-06-09 | 2017-09-22 | 中国农业科学院农业信息研究所 | 一种母猪产床监测预警装置、方法及系统 |
CN108450340B (zh) * | 2018-01-18 | 2021-03-19 | 武汉至为科技有限公司 | 一种畜牧业统计监测系统 |
WO2019245978A1 (en) * | 2018-06-19 | 2019-12-26 | Farm Jenny LLC | Farm asset tracking, monitoring, and alerts |
-
2019
- 2019-09-04 DK DK19872601.0T patent/DK3866587T3/da active
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- 2021-04-14 CL CL2021000925A patent/CL2021000925A1/es unknown
- 2021-04-14 US US17/230,525 patent/US20210267171A1/en not_active Abandoned
-
2023
- 2023-01-25 US US18/159,219 patent/US20230210092A1/en not_active Abandoned
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US5416330A (en) * | 1992-11-18 | 1995-05-16 | Technology International Incorporated | Radiation monitoring system for containers, livestock, and foodstuff |
US5474085A (en) * | 1994-02-24 | 1995-12-12 | University Of Prince Edward Island | Remote thermographic sensing of livestock |
US20160363692A1 (en) * | 2015-06-10 | 2016-12-15 | Ace/Avant Concrete Construction Co., Inc. | Optical livestock counting system and method |
US20190385332A1 (en) * | 2016-12-08 | 2019-12-19 | Sony Corporation | Display control device, display control method, and program |
US20190281799A1 (en) * | 2018-03-17 | 2019-09-19 | Ovipost, Inc. | Methods and systems for insect farming |
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2021257925A1 (en) * | 2020-06-18 | 2021-12-23 | Board Of Regents Of The University Of Nebraska | Materials and methods for long-term tracking of group-housed livestock |
US11602132B2 (en) | 2020-10-06 | 2023-03-14 | Sixgill, LLC | System and method of counting livestock |
US11910784B2 (en) | 2020-10-14 | 2024-02-27 | One Cup Productions Ltd. | Animal visual identification, tracking, monitoring and assessment systems and methods thereof |
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US20200120900A1 (en) | 2020-04-23 |
PT3866587T (pt) | 2023-04-26 |
US11178852B2 (en) | 2021-11-23 |
CA3116419A1 (en) | 2020-04-23 |
EP3866587A4 (en) | 2022-04-06 |
CA3128582A1 (en) | 2020-04-23 |
US20230210092A1 (en) | 2023-07-06 |
CA3116419C (en) | 2021-11-02 |
CL2021000925A1 (es) | 2021-12-17 |
EP3866587B1 (en) | 2023-01-25 |
US20200125849A1 (en) | 2020-04-23 |
PL3866587T3 (pl) | 2023-07-03 |
JP7274787B2 (ja) | 2023-05-17 |
EP3866587A1 (en) | 2021-08-25 |
BR122022005529A2 (hu) | 2021-08-10 |
BR112021007269A2 (pt) | 2022-12-06 |
HUE061538T2 (hu) | 2023-07-28 |
DK3866587T3 (da) | 2023-05-01 |
US20210267171A1 (en) | 2021-09-02 |
JP2022514115A (ja) | 2022-02-09 |
MX2021004399A (es) | 2021-07-06 |
BR122022005529A8 (pt) | 2023-01-31 |
ES2942892T3 (es) | 2023-06-07 |
CN113163733A (zh) | 2021-07-23 |
WO2020077438A1 (en) | 2020-04-23 |
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