Challenge
The process of manually measuring, counting, and packing carrots is a labor-intensive and time-consuming task for personnel. It involves the workers manually handling the carrots, measuring and counting them, and then packing them into the appropriate packaging based on weight and quantity requirements. This process is often repetitive and monotonous, which can lead to a decrease in productivity and quality control. Additionally, human error can occur during this process, resulting in inaccurate measurements or incorrect packaging, which can impact the overall quality of the product.
Solution
Our solution addresses this challenge by training an AI model using a 2D Nano C2020 camera to detect and estimate the size and weight of carrots. The carrots are tracked on a conveyor belt using conveyor tracking and encoder. Instead of manual measurement and counting, personnel only need to place the carrots in designated pockets, and it will measure and count them. Once the desired package weight is reached, it signals the packaging machine to initiate the packaging process, streamlining the process and reducing the need for manual labor.
Carrots are detected on the conveyor