Concept scenario
Trash Bin Fill Level Monitoring & Overflow Prevention
Scenario record: it defines the environment, the mission flow and a proposed hardware and software configuration. The list below is a configuration proposal, not an installation inventory. Field projects lists deployed systems and their measurements.
- Environment
- Indoor, public area
- Operating mode
- Supervised autonomy
- Proposed robot
- Unitree AS2
The problem addressed
Overflowing trash bins, bad odor spreading, and inadequate waste sorting.
Draft mission flow
- 1Robot tours all trash bins in the mall; measures fill rate with ultrasonic sensor, hygiene status with odor sensor.
- 2AI model predicts overflow time based on current fill rate; standby alert sent to cleaning crew at 75% fill level.
- 3Mixed waste dumped in recycling bins detected and reported; waste sorting success rate monitored.
- 4Daily waste map and peak hours analyzed to optimize trash bin locations and counts.
Proposed hardware
- Ultrasonic Fill Level Sensor
- Odor Sensor
- HD Camera
- Weight Sensor
- LED Status Indicator
Proposed software
- Navigation
- Periodic circulation with optimized route covering mall trash bin locations
- Model
- Fill Percentage Estimation, Waste Type Classification, and Overflow Time Prediction
- Integration
- Mall Waste Management System and Cleaning Crew Task Scheduler
The robot's real operating limits
Unitree AS2
Industrial Capacity in a Compact Chassis
Product page- Ingress rating
- IP54
- Runtime
- >4 hours (No load)
- Operating temperature
- -20°C to 50°C
- Payload
- Up to 65 kg
- Max speed
- >5 m/s
- Climb
- 40°
Values are manufacturer data. Scenario fit is determined by comparing these limits with site conditions.
From scenario to installation
Feasibility is determined by the site survey: floor and route, network coverage, the charging point, intervention responsibilities and the conditions under which the robot must stop. The survey report defines the scope, the constraints and the commissioning steps.