The use of digital technologies is becoming increasingly important in large-scale livestock farming. In poultry farming, where there are thousands of birds in a barn, the only way to collect individual data on birds reliably and with high accuracy is by collecting and analysing camera images. In our project using computer vision, we have developed a simple and reliable method for estimating the individual weights of birds that can be applied in real farming practice. This allows us to provide poultry farmers with more accurate and reliable information without disturbing the poultry flock, instead of the weight measurement methods used in practice. The images and videos captured by the cameras can also be used to determine the veterinary status of poultry flocks and to detect diseases early, thus reducing the risk of poultry meat production for the poultry farmer. Our innovative solution has been developed and is being further developed through our start-up Birdwatcher.