University Campus Night Security and Lighting Control 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
Night security gaps, dark spots, and non-functioning emergency call points on campuses.
Draft mission flow
- 1The robot patrols autonomously across campus throughout the night; performs security monitoring with thermal and night vision cameras.
- 2Checks walkway and parking lot lighting levels with lux meter; maps dark spots.
- 3Verifies operational status of malfunctioning lighting poles and SOS emergency call points.
- 4Instant status report transmitted to security center; extinguished lighting automatically activated through smart system.
Proposed hardware
- Radiometric Thermal Camera
- HD Night Vision Camera
- Lux Meter
- High Decibel Siren
Proposed software
- Navigation
- Night autonomous patrol SLAM on campus walkways, parking lots, and building perimeters
- Model
- Suspicious Behavior Detection, Dark Area Mapping, and SOS Call Point Verification
- Integration
- University Security Center and Smart Campus Lighting System
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.