Inspiration
We focused on finding the perfect balance between speed and efficiency.
What it does
For the first website, the employee will use it on their ipad. They will start a new session, enter the details about the airline and flight so we can take in consideration the guidelines. Then, they'll scan the bottle and weight it on a balance, and the program will immediately decide if they should throw it away, keep it (when it's sealed), or keep and complete (when it's not full but it can be complemented with another unsealed bottle).
The second website is focused on employee efficiency and error detection. By using computer vision, the employees will be able to immediately know if the amount of items match the amount of expected items for each product. This makes counting faster and more reliable. There will be a timer to evaluate the employee's efficiency and speediness. This will be used to create a leaderboard, and the top 3 fastest and most efficient employees can be rewarded by the end of a certain period. This will be used as an incentive for them to stay motivated.
How we built it
All of the data is stored on a databased in MongoDB. We used react for both websites. For the first one, we created a decision motor that takes in consideration the guidelines and the information about the bottle. It calculates how full it is (%), to calculate it, we'll have the weight of a full and an empty bottle, and will use the weight of the current bottle to calculate that percentage.
For the second website, we created a computer vision algorithm that can distinguish between colors, each representing a different product. It helps employees count faster by evaluating the observed items per product vs the expected items per product
Challenges we ran into
One of the main challenges was the time
Accomplishments that we're proud of
We are proud of our motor decision, the code scanner for the bottles, and the computer vision algorithm
What we learned
How to create an object classifier usng computer vision
What's next for Ctrl Cuerna
Diving deeper into tools that can help automate processes

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