Technical Specifications

High Level:

• Shall add grocery items to inventory via OuiCan iOS application
• Shall track each inventory item’s quantity remaining
• Shall track each inventory item’s time since added to inventory
• Shall detect disposed items via OuiCan’s speech recognition
• Shall detect weight of disposed items in OuiCan
• Shall detect garbage level in OuiCan
• Shall update OuiCan application inventory via wireless communication

Technical Requirements:

• Shall allow inputs of type and quantity to OuiCan application via receipt image
• Shall keep track of number of days since each item added to inventory
• Shall open OuiCan lid when motion is detected at a distance of ~1 foot above lid
• Shall detect disposed items via OuiCan using speech recognition
• Shall detect weight of disposed items via wheatstone bridge of load cells under OuiCan
• Shall detect garbage level via ultrasonic sensor
• Shall process the sensor information via wired serial connections to Raspberry Pi
• All circuitry and sensors shall be packaged within the trash can container
• Shall send data to OuiCan application via Wi-Fi

Future Goals:

• Shall allow inputs to OuiCan application inventory via speech recognition
• Shall detect disposed items via OuiCan using UPC scanner via CCD camera
• Shall send garbage weight data for city collection to improve garbage route efficiency
• Shall suggest personalized shopping tips based on waste production history

Hardware

• Simple Human Trash Can with Motion Detection
• Raspberry Pi 2 Model B
• Ultrasonic Range Finder MaxSonar-EZ3
• UPC Barcode Reader/Scanner
• Condenser Microphone
• Hazardous Gas Sensor
• Mechanical Switch
• Load Cells (x4)
• Custom Printed Circuit Board

Software

• System level: Python
• iOS Programming: Swift
• Server: Firebase
• Google Speech API
• Tesseract: OCR Engine

Input side:

Output side: