Robosort
Purpose:
The aim of this project is the idea of using cameras, computer vision and
machine learning to localize the Brass metal materials in order to eventually
automate the sorting process.
Choose The Perfect Sorting Materials:
Selecting the ideal sorting materials model for achieving optimal prediction
accuracy and successfully detecting brass metal is of paramount importance. The
efficient and accurate separation of brass from other materials can have
significant implications in various industries, such as recycling and
manufacturing. With a continuous influx of datasets, the quest for the best
model is an ongoing and critical task. It's crucial to ensure that your sorting
system remains adaptable and can handle variations in the data. This
adaptability includes not only the choice of the machine learning algorithm but
also fine-tuning the hyperparameters to meet the evolving demands of your
dataset