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Final Skittles Sorter Documentation and Demonstration 5/13/24
Final Skittles Sorter Documentation and Demonstration 5/13/24
The picture above just shows the accuracy on the training_images
This is the accuracy of the Test_images
The goal of the skittle projet is to use al of ur preivious skills that we learnded from the many pythons we have done as a class to reate an AI model that can look at an image and name the person the image belongs with, We also need tohave any accuracy of at least 80%.
the data used to train my model were the images that everyone took while in class that was loaded into my google drive and conncectded to my gooogle collaborate.
When my model looks at an image and puts it with an label it has an accuracy of a 87.
IMG_9479.MOVGoogle site singluarizer
Google site singluarizer
documentation 5/6/24
documentation 5/6/24
The goal of our singularize is to take a bag of Skittles and be able to separate one Skittle at a time and be able to debrief the differences between the Skittle color and put it into its own color segment.
Explain what the goal of the model is ?
The goal for the model is to be able to recognize people that are in the engineering class and so that the model will be able to recognize people once we walk in the class room and be able name state our name out loud.
Explain what data is use to train the model?
The data that is being collect are the picture that are being collected by us everyday when we walk in the class room taking a picture of ourself during the year so we can be become more known`to the face recognition and can identify us.
Explain what the model does?
The model is a set of data that's being taken.
Describe how accurately it does this?
The accuracy of the model can differentiate since it depends on how many epochs it has, since epochs are used to train the model, and if your model underperforms you need more epochs so it can help with your accuracy.
Sensor working 3/29/23
Sensor working 3/29/23
After I finished getting my two servos to work I started to work on the sensor to work. First I solder the RGB sensor to some pins that are like wires. After I went to Githhub to get the code to be able to have my servos working. After putting the code in python an light turned on for my sensor then I started to put different color Skittles over the light and got feedback from python serial. Then after I finally finish making the sensor work. After getting my sensor to work I grabbed a blank piece of paper and name all of the component of the breakout board and used small labels and that can be see in the video.
IMG_7726.MOVTwo Servos working 3/13/24
Two Servos working 3/13/24
Today in class I started to work on two servos. First we had to go through a canister filled with wires. I had to specifically find a red wire and a black wire. The reason for getting those colors so we can use it for
2/12/24 Skittles Sorter Research
2/12/24 Skittles Sorter Research
To design a Skittles sorting machine it's important to understand the principles behind color sorting, the hardware required, and the design considerations for such a project.
Color sensors are commonly used in sorting machines to detect the color of objects. These sensors typically use RGB (Red, Green, Blue) or HSV (Hue, Saturation, Value) color models to identify the difference between colors.
The skittle sorting machine is powered by a motherboard, two servos, and a color sensing module.
Design mechanisms such as conveyor belts, chutes, or robotic arms to transport Skittles from the input hopper to the sorting destination.
IMG_5956.MOV8/28/2023 Robot Is moving
8/28/2023 Robot Is moving
Today In class I was able to finish my code for my second motor and glued everything together so it could move around.
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