safety
Autonomous patrol robot utilizes autonomous robotic technology to monitor
patrol areas for images, fires, and abnormal noises. It transmits real-time situation and image data to the control center, enhancing security and surveillance.
Issue to Tackle
- Need to efficiently manage fixed CCTV poles in urban areas, enhancing surveillance of building interiors and exteriors while reducing the workload of security personnel.
- Address the productivity decline caused by the aging security workforce.
- * 1% of security guards have worked for less than 31.0 year, 3% for less than 62.6 years, showing frequent departures. The proportion of seniors aged 65 or older is very high, at 80.7%.
Expected Benefits
- Enhances surveillance at vulnerable locations, reduces the workload of security personnel, and establishes a safer residential environment by preventing pole-related hazards.
- Enables monitoring of telecommunications and electrical infrastructure to detect fires and disasters early, preventing incidents.
Key Services
- Real-time event monitoring in residential areas, traditional markets, educational facilities, industrial complexes, construction sites, and other spaces.
- *Autonomous patrol for low-population areas or those lacking CCTV installations.
- Detects overheating poles using thermal cameras, halting patrols and sending alerts to control centers.
- If unusual activity or emergencies arise, the robots issue immediate on-site audio warnings and collaborate with the control center to broadcast guidance messages through speakers.
- If necessary, fire extinguishers, AEDs, and first aid kits are stored inside the robot to support rescue operations in collaboration with on-site security personnel and police.
Key Components
Configuration
Technology
Ultra-Precision Positioning (RTK, Real-Time Kinematic) Satellite Navigation System
- Reduces errors to less than 10 cm within a 2 m radius
POINT
Improves GPS data accuracy down to centimeter levels by leveraging ground-based reference stations, ensuring precise autonomous driving.
Autonomous Driving Technology
- Detects and recognizes nearby structures using precise sensors, enabling accurate location mapping and autonomous driving.
POINT
Incorporates 3D LiDAR, depth cameras, and ultrasonic sensors allowing robots to understand their surroundings, make informed decisions, and navigate to destinations.
Object Recognition
- Identifies people, vehicles, and objects while detecting dynamic and stationary obstacles.
POINT
Facilitates safe operations at night with searchlights for inspection and remote surveillance.
AI Analysis Technology
- Detects objects in video and images in real time, and provides risk information to the city control center when a risk factor is detected.
POINT
Uses visual and thermal cameras to detect overheating and accurately assess fire hazards.
Related Technology
MOBINN, MOBIN
Uses 3D LiDAR-based real-time 3D positioning technology and a wheelbase control structure for indoor and outdoor movement.
POINT
Equipped with a flexible wheel structure to overcome obstacles such as stairs and maintain stability during transport.
New Mobility NEUBIE
Combines GPS, cameras, and sensors for autonomous patrol, with SKT LTE models for real-time video streaming.
POINT
Performs autonomous driving using a camera-based system without relying on expensive LiDAR sensors.
IROP, Fireguard Bot
Performs 24/3 industrial site monitoring and emergency detection using XNUMXD LiDAR and heat detection sensors.
POINT
Provides comprehensive disaster response by detecting electrical equipment malfunctions and offering fire suppression solutions.
Use Case
- In June 2022, the Gwanak District in Seoul introduced the country’s first autonomous patrol robot service for urban safety, monitoring residential and park areas.
- Starting in 2024, Seoul plans to deploy patrol robots in four major traditional markets, including Gwangjang and Majang, to monitor fire risks, prevent early disasters, and guide evacuations.
- The national pilot city of Busan’s Smart Delivery City launched patrol robots in November 2022 for early disaster detection and pole monitoring.
- Other cities like Songdo, Siheung, and various private and construction sites are also adopting patrol robot technologies.
Technology Companies
