Coverage
There are too many public spaces to check by hand.
Garbage & Litter Detection: Computer Vision for Automated Waste Monitoring
Computer Vision for Automated Waste Monitoring
We built automated litter detection, classification, severity assessment and alerting with computer vision, supporting waste monitoring across public spaces.
The Challenge
What stood in the way.
Manual detection and classification of litter does not scale well across public spaces.
Classification
Different kinds of litter need to be told apart.
Priority
Some locations need attention sooner than others.
Our Solution
How we answered it.
We built a computer-vision system with YOLOv8 that detects litter, classifies it, assesses severity and sends alerts.
- ProblemManual checks could not cover every space.Our answerWe built automated litter detection.
- ProblemDifferent litter needs different handling.Our answerWe added classification.
- ProblemTeams needed to know where to act first.Our answerWe added severity assessment and alerting.
How It Works
The parts that made the difference.
Litter detection
Litter is detected automatically in images.
Classification
Detected litter is classified by type.
Severity assessment
The system assesses how severe each case is.
Alerting
Alerts are raised so teams can respond.
Results
What changed for the client.
The system supports waste monitoring at smart-city scale.
- Scalable smart-city waste monitoring
- Automated litter detection and classification
- Severity-based alerts
Technology
What it was built with.
Part of our AI and machine learning work.
- YOLOv8
- Python
- OpenCV
- TensorFlow
Let’s Talk
The next big thing starts with a conversation.
An idea, a challenge, a “what if”. Tell us what you have in mind, and we’ll figure out the next step together.
What happens next
- Share your ideaSend the form or book a call, whichever suits you.
- Discovery callWe talk through your goals, timeline and scope.
- A clear proposalA fixed price or monthly rate before any work begins.
- info@technomous.com
- Phone
- +92 333 0440459
- Chat on WhatsApp