Mall and Underground Parking Plate/Security Patrol
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
Rule violations in the parking lot, car thefts occurring in blind spots, and lack of patrol.
Draft mission flow
- 1Scans vehicle plates in seconds while cruising autonomously between floors.
- 2Detects incorrectly parked vehicles, those violating disabled areas, or wanted (blacklisted) vehicles.
- 3Makes voice warnings to the vehicle or transmits location to the security center as needed.
Proposed hardware
- 4K Low Light Cameras
- Omni-directional Lidar
- Voice Warning Speaker
Proposed software
- Navigation
- Dynamic SLAM and route finding sensitive to vehicle mobility
- Model
- ANPR (Automatic Number Plate Recognition) and Anomaly Detection
- Integration
- Mall Parking Management Software
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.