In a world where refrigerators are humble white boxes merely used to store food, average and ubiquitous are the most common adjectives when describing one of the most important appliances. Several upgrades are necessary for a technology that essentially hasn't changed much since its introduction a century ago. We wanted to tackle food waste and create a better experience with the Frigid

What it does

Analyzes the image of the food placed in its basket using Microsoft's Computer Vision API, Raspberry Pi, and Arduino.

Places food in specific compartment for it using a laser-cut acrylic railing frame and basket, actuated by motors. The plan for a full product is to maintain a specific temperature for each compartment (our prototype uses LEDs as an example of different temperatures) that allows the food to last as long as possible, maintain flavor and nutrition, and either freeze or defrost foods such as meats from the tap of a finger. This also makes it much easier to arrange groceries after buying.

Using the identification from the vision system, Frigid can also warn you when you are running low on supplies or if the food has gone bad. Notifications over the internet allow you to easily order more food or freeze food that is getting close the expiration date.

How we built it

Laser cut acrylic, stepper motors, Arduino, Raspberry Pi. As a hardware project, we spent most of our time trying to build our product from scratch and maintain structural rigidity. The laser cut acrylic is what we used to build the frame, basket holding the food, and compartments for food to be held in.

Challenges we ran into

-limited laser cutting hours -limited materials -limited tools -LED control -power -hot glue -working with new technology

Accomplishments that we're proud of

-Microsoft api -first hardware hack -first time using arduino and raspberry pi together -first time working with Nelson -lots of laser cutting -learning about rigidity and structural design -LED strips -transistor logic -power management

What we learned

-soldering -power management -Controlling arduinos with raspberry pi

What's next for Frigid

There is a huge potential for future development with Frigid, namely working in the temperature features and increasing the amount of food types the vision system can recognize. As more people use the product, we hope we can use the data to create better vision recognition and figure out ways to reduce food waste.

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