Unclassifiedrinme
Reference CaseProject media · MIT licensed

Smart Waste Segregation System Using Arduino UNO Q

AI-powered waste sorting with Arduino UNO Q, Edge Impulse, and real-time object detection

Arduino Project Hubproject
Smart Waste Segregation System using a camera and Arduino UNO Q to classify wasteProject media · MIT licensed
Documented project mediaRights checked before display
Content modeReference Case
RightsMIT
Evidence coverage100%
Case completeness100%
01 / What it is

Smart Waste Segregation System Using Arduino UNO Q, from published facts.

AI-powered waste sorting with Arduino UNO Q, Edge Impulse, and real-time object detection

01

Real-time waste classification

Classifies paper, plastic, cardboard, and batteries from camera input.

1
02

Automatic physical sorting

Routes detected waste with a servo and signals hazardous batteries with a buzzer.

1
02 / System map

A sourced functional map—not a reverse-engineered schematic.

This system view follows the documented functional blocks and keeps unknown internals explicit.

01

Vision and inference

Captures frames and classifies visible waste with an object-detection model.

USB CameraEdge Impulse
1
02

Control and actuation

Receives detection results, moves the sorting servo, and activates the battery alert.

Arduino UNO QArduino App LabServo MotorActive Buzzer
1
03 / Known hardware

Published facts, separated from hidden internals.

No inferred internal BOM
Has TitleSmart Waste Segregation System Using Arduino UNO Q
Has SummaryAI-powered waste sorting with Arduino UNO Q, Edge Impulse, and real-time object detection
Created Byrinme
Published At2026-06-03T22:55:40.534Z
Source Reports LicenseMIT
Classifiespaper, plastic, cardboard, and batteries
PartQtyRoleEvidence
controllerUNO QArduino

Runs the control layer and drives connected hardware.

reported1
cameraUSB Camera

Captures waste images for classification.

reported1
actuatorServo Motor

Moves the waste-routing mechanism.

reported1
alertActive Buzzer

Signals hazardous battery detections.

reported1
04 / AI & software

The documented software and intelligence layer.

Edge Impulse

Version not published

Image collection, category labeling, object-detection training, and deployment export.

1

Arduino App Lab

Version not published

Connects AI detection results to servo and buzzer actions on the Arduino UNO Q.

1
05 / Rights boundary

Useful enough to understand. Careful enough to respect the creator.

Overall Case content remains link-only. media:v2:245399dea6b3496f4ecc499a is separately approved for remote display under the exact retained Project Hub cover and project-license record.

Shown on SauceSnap

Facts + original analysis

  • Structured facts linked to evidence
  • SauceSnap-created diagrams
  • Short original summaries
  • Explicit unknowns and review dates
06 / Sources & evidence

Inspect the captured facts before opening the publisher.

Official media and full publisher content remain external unless reuse rights are confirmed.

SAUCESNAP / SOURCE READER1 documents
1Smart Waste Segregation System Using Arduino UNO Qrinme · 18 captured factsPreview
Facts retained · media rights respected

Official media and full publisher content remain external unless reuse rights are confirmed.

  • $source.item.titleSmart Waste Segregation System Using Arduino UNO Qreported
  • $source.item.summaryAI-powered waste sorting with Arduino UNO Q, Edge Impulse, and real-time object detectionreported
  • $source.item.creator.display_namerinmereported
  • $source.item.published_at2026-06-03T22:55:40.534Zreported
  • /data/license_typeMITreported
  • Featurespaper, plastic, cardboard, and batteriesreported
  • Featuresservo motorreported
  • Featureshazardous battery detection using a buzzerreported
  • Components RequiredEdge Impulse object detectionreported
  • Arduino App LabArduino App Labreported
  • Components RequiredArduino UNO Qreported
  • Hardware OverviewUSB Camerareported
  • Hardware OverviewServo Motorreported
  • Components RequiredActive Buzzerreported
  • Detection Stability and Accuracyconfidence thresholds, consecutive-frame verification, cooldowns, and countersreported
  • /data/attachments/0/urlhttps://projects.arduinocontent.cc/cover-images/21a8249e-3f56-4934-b613-cb213557bab3.jpgverified
  • downloaded image bytes96762d163b11c81c803663e2078f6441b61855304ab55d4bc09396ca1d0cbd78verified
  • /data/license_typeMITverified
Retrieved 2026-07-27Open official source ↗