• Vishal S. Jangale
• Rakesh B. Hande
• Tejas A. Kamble
• Waqaar I. Khatri
• Fr. Fabian Barreto

An autonomous system that can be used for automatic high-speed sorting is proposed. In this paper, we are using this system for sorting and picking fruits for ensuring faster production chain. The proposed approach takes into account different types of fruits. The main goal is to come up with a method for classifying these different types of fruits accurately and efficiently. We use Raspberry Pi, which is an open source Linux based board with OpenCV and Python for processing. Furthermore, we make use of camera module which captures the image of the object. Here we use different object detection modules provided in OpenCV, Google’s object detection API and Tensor Flow libraries to detect fruits and sort respectively.

Raspberry Pi, Fruit Sorting, Open CV, Tensor Flow, Object Detection API, Python

"AUTONOMOUS FRUIT SORTING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 4, page no.101-104, April-2019, Available :http://www.jetir.org/papers/JETIR1904K17.pdf

"AUTONOMOUS FRUIT SORTING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 4, page no. pp101-104, April-2019, Available at : http://www.jetir.org/papers/JETIR1904K17.pdf