Unclassified•rinme
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 ↗