رُطباً جنياً



CONTENT
01
02
03
04
05
06
INTRODUCTION
OUR TEAM
OUR IDEA
MAIN COMPONENTS
FEATURES
FUTURE WORK
07
CONSTRAINTS



Dates are classified in the market according to many criteria, and the sorting process is not accurate using the human eye, it is okay, we are here to help solve this problem
INTRODUCTION




OUR TEAM
Batool Shilleh
Manar Mohamed



Quick overview

Where did the idea come from?

OUR IDEA
Our project sorts dates into three main categories (first, second, and third), which are the categories spread in the market in general, depending on the weight of the date grain.
A post appeared on Facebook looking for a date sorting machine
Research shows that the source for most of this machine sleep is Italy
This is an expensive type of machine



To determine if it is a date or not using machine learning
01
CAMERA

02

03

04
The user will have three different rings for each category. The date belongs to which category is determined by the scale
BALANCE
The sensor belonging to a specific category will be checked only
SENSORS
It pushes the dates off the track when activated
AIR JACKS


Submit a report as reviewed by the owner
Classification of dates according to weight into three categories
Determine whether it is a date or not using camera and machine learning



FEATURES


additional criteria
automation
Versatility
FUTURE WORK
Classification of dates using grain moisture, size and type
Adding mechanical parts and controlling them so that the system becomes fully automated without any human intervention
Making the system adjustable by the user to recognize other types of fruits


Occupation
1
Cost
2
Image Processing Challenges
3
Constraints



THANK
 YOU


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