Building a technology tool-kit
Technologies like image recognition (for example, OCR, face/object recognition and image searching) can help assess auto collision damages, identify livestock, as well as fight fraud.
Although the scenario for using technology to recognise a specific pig or cow recognition is quite limited. Dr. Xiao provides an example of how this technology can be used to confirm the identity of insured farm animals. While it may be easy to assess that the dead cow in an image is the same animal that was insured (based on its distinct markings), it can be difficult to confirm if a dead pig is indeed the insured pig.
“Using facial recognition and other technologies, artificial intelligence can be used to not only recognise the pig, but also calculate the volume of the animal based on photos taken and filed with the claim. So, we use a computer vision algorithm to estimate the weight of the animal by calculating its volume using deep learning algorithms. The estimation error is usually under 20%, which helps reduce the risk from claims.”
Dr. Xiao notes however, that the accuracy level with regards to animal recognition is not as high when compared to human facial recognition. “There are three reasons for this,
- pig/cow face images do not contain as many skin texture patterns.
- pig/cow recognition also needs to be compared the face images from the same animal, thus images are needed of the animal both before and after its death. Collecting such a data set can be pretty hard to do.
- Moreover, the appearance of the dead animal changes a lot (view angle, stain, skin tone, pupil shape).”
Dr. Xiao concludes, “collect your own data, create your own models. In that sense you will have to build your platforms from scratch, though you can get some basic solutions off-the-shelf, but usually these will only help you get started. To make a stable model, you will need massive amounts of data. The best off-the-shelf products are built with massive amounts of data.” He highlights that “In the end, there are no quick solutions in AI.”