Leveraging advanced computer vision and image processing technologies, our system provides precise and real-time monitoring of livestock in agricultural and farming environments. By automating the counting process, we can streamline inventory management, optimise feeding strategies, and enhance overall herd health.
Our team collects diverse and representative data, capturing different livestock species, breeds, and environmental conditions. We incorporate a wide range of factors, such as lighting variations, animal poses, and backgrounds, to create a comprehensive dataset that reflects real-world scenarios.
With our advanced technology, you can remotely access real-time livestock counting data, feeding schedules, and health information through a user-friendly interface. Additionally, remote management capabilities empower you to remotely adjust feeding strategies, monitor grazing patterns, and implement health interventions based on real-time data insights.
Our team employs state-of-the-art techniques to train AI models specifically designed for livestock counting. We start by curating a comprehensive and diverse dataset, incorporating various livestock species, breeds, and environmental conditions. Leveraging advanced algorithms and deep learning architectures, we train our models to accurately detect and count livestock in real-time footage.
Designed with a scalable architecture, our solution effortlessly adapts to different farming environments, from small-scale farms to large cattle stations. Our AI models can efficiently handle diverse livestock species, sizes, and behaviours, ensuring accurate counting regardless of tracking conditions.
