Automatic Fruit Counting

Automatic Fruit Counting is an AI-powered solution designed to automate the counting of fruits and vegetables as they move along conveyor systems. By using IP cameras mounted above roller or belt conveyors, the system employs computer vision technology to detect and count a wide range of produce, including citrus fruits, pome fruits, stone fruits, pomegranates, and various vegetables such as potatoes, tomatoes, and onions. This approach aims to replace conventional manual counting methods, providing more efficient inventory management, quality and waste control, logistics planning, and marketing insights.

The platform delivers real-time data and insights on produce flows, offering metrics such as current fruit flow per minute, average fruit flow, total quantity processed during observation, and capacity utilization. Information captured by the system can be displayed on monitors within processing or packing facilities, transmitted to assigned managers or departments, or exported to packhouse software for further analysis. The system is designed for non-disruptive installation, requiring only one camera per conveyor line and minimal computing power, and it claims to achieve over 95% counting accuracy.

Automatic Fruit Counting is intended for a range of users in the agricultural and food industries, such as farming and agriculture businesses, retail chains, food processing and packaging companies, food processing equipment manufacturers, and agricultural technology firms. The system is positioned to help these organizations optimize packhouse operations, minimize post-harvest produce loss, and adjust workflows based on real-time production data.

It is presented as a specialized application of computer vision and AI for automated produce counting within business operations.