Plain Sight Introduces Vision AI For Accurate Livestock Monitoring

Plain sight introduces Vision AI for accurate livestock monitoring: The artificial intelligence platform can, depending on the situation, either be used to count the number of cattle or monitor the health of the animals.

The plain sight has launched an artificial intelligence platform to aid farmers in ensuring that their livestock remains present in the appropriate numbers. Livestock farming is a lucrative business, and Plain sight recognizes this need. According to Plain sight, the platform known as Vision AI has the capability to pinpoint the number of any specific livestock, whether it be cattle, sheep, or pigs in a given area, with an accuracy of 99.7 percent. This includes the platform’s ability to pinpoint the number of any particular livestock.

Elizabeth Spears, Chief Product Officer of Plain sight, stated that clients came to them with this problem, which is normally how the company develops solutions. “We had customers come to us with this problem.” “When you have instances in which animals aren’t being tallied precisely, you can be subject to fraud in the transportation procedure that is taking place inside that process. Along the supply chain, there are a number of points at which it is possible for the counts of animals to become wrong.

Vision-based artificial intelligence for managing animals.

Because the price of a single head of cattle can range anywhere from $800 to $1,200, it is essential for people who work in the farming industry to have a precise understanding of the number of each type of animal they have on their land. Although a huge industrial farm served as the model for the artificial intelligence platform, Spears asserts that this particular feature is adaptable not only to large-scale farms but also to family farms and other types of smaller agricultural operations.

According to Spears, “I would say that it could work for both, but it is most appropriate for the larger farms,” because that is typically where counting becomes the most economically essential. “I would say that it could work for both,” “It’s a solution that makes a lot of sense. Additionally, the price is really reasonable. It is the most cost-effective option for operations of a bigger scale, and the way that it is normally implemented is that we collaborate with the organization to have it set up. Therefore, in the case of Vision in particular, depending on the conditions of your surroundings, you may need to maintain and update the model.

The object counting mechanism that Plain sight use is made up of a number of distinct components in order to assist in mitigating the effects of this issue:

An algorithm for tracking objects that can monitor the location of each individual object as it moves from one frame to the next.

A registration zone that allows for the automatic detection and tracking of moving objects when they enter the field of vision of a camera.

A counting line that, when crossed by an object, causes the object count to be incremented.

If you do not take into account the direction in which an object is moving, you may end up counting it more than once if it is moving in reverse.

A deregistration zone is a location where object tracking and detection can be safely disabled after the counting process has been completed.

The platform provides assistance to farmers in ensuring that their animals continue to be healthy and are kept safe within the farm, in addition to merely identifying the correct amount of a certain species of livestock.

“Counting is just one thing that it can do,” said Spears, “but it can also really help with kind of monitoring the health of the animal and also with sort of overall operations on the producer’s side.” “Counting is just one thing that it can do,” said Spears. “You can look at an animal stride, which simply means how they’re walking, as an indicator of animal health. Food consumption is another visual indicator of health, and there are other kinds of visual indicators of health as well. It makes it possible for producers to effectively handle bigger numbers of animals in general, which is a significant benefit.

Spears further claims that there would be little to no learning curve involved in the process of installing the Vision AI platform on industrial or smaller size farms in order to meet their requirements for livestock management.

According to what she had said, “the platform exposes what’s going on with your data extremely clearly, and that’s incredibly critical for being able to track these over time.” “Not being able to have a really clear understanding of the data that’s coming in and the detections that are coming in is one of the reasons that folks sometimes have difficulties with the long-term accuracy of their models. Accuracy is absolutely critical, particularly for these larger-scale organizations, because the miscounting of the cattle is a problem that costs them tens of millions of dollars every year.

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