Conclusion

This image recognition method prioritizes two key advantages. Firstly, it operates with relatively fast speed, making it well-suited for tasks requiring real-time analysis. Secondly, it demonstrates a high degree of accuracy when identifying familiar objects, ensuring reliable results.

Although generally accurate, the system may encounter difficulties with previously unseen objects. In such instances, capturing the object from various perspectives or using additional images may be necessary for optimal recognition.

Future Steps
Future attempts with this project can explore and develop other algorithms to improve time and accuracy.