Round-the-clock autonomous patrolling, onboard video analytics for human detection and face recognition.
Supremely Reliable Guarding
A drastic decrease in the number of personnel, mitigation of human factor-related risks and uncertainties.
Unlimited Opportunities to Guard the Largest Facilities and Areas
AI-controlled collaborative patrolling, several robot models for various purposes.
The security robots of the S5.2 series
Intelligent video surveillance with human detection and face recognition
Fully autonomous round-the-clock patrolling of areas
Artificial intelligence in the collaborative interaction of security robots
24/7 security patrolling
Continuous patrolling of the protected area by robots is supported with automatic battery charging stations. A sufficient number of automatic charging stations in the observation positions allows keeping the batteries charged during the entire operation time.
During charging robot continues to conduct video surveillance. At night, in case of insufficient artificial lighting, the robot uses its own infrared illumination. To work in complete darkness a robot-guard Argus equipped with a PTZ thermal camera.
Smart Video Surveillance
Recognition and tracking of objects with video analytics based on Deep Learning. Detecting faces and their photo-video recording for subsequent recognition and identification of unauthorized personnel.
Reliable human detection in any lighting conditions for the purposes of intrusion detection in uninhabited protected areas. Human recognition thermal bi-spectrum PTZ camera on distance up to 200 meters in complete darkness. Automatic sound notification in case if an intrusion is detected or when approaching to the protected perimeter.
Collaborative Patrolling by a Team of Security Robots
Control of a group of robots through Artificial Intelligence algorithms and Big Data analysis. When patrolling a large area with several robots, decisions about the choice of the observation position and patrol route are made based on the interaction of robots among themselves without a human pre-programmed algorithm.
In the group of security robots carrying out autonomous patrolling, there is no decision center. Each robot independently makes decisions about its own actions. This makes the robotic grouping a highly reliable network centric system with distributed decision centers.
SMP ROBOTICS NEWS
Security robots approved by the Dubai police were presented аt the Intersec 2020.Read more
Robots began guarding uninhabited energy infrastructure facilities. We invite you to the international security and fire exhibition Sicurezza 2019, Milan, Italy, November 13-15Read more
Smart video analytics in second evolution Security Robots
SMP Security Robot
SMP Security Robot
The latest generation SRX robot has embodied the best solutions from a decade of autonomous mobile robots’ development by SMP Robotics. Security robots of the previous generation were in actual use in the US, Japan, Argentina, Brazil, Canada and Chile.
360-degree panoramic video surveillance
Human detection on distance up to 30 m
Video cameras at human eye level
Video surveillance above obstacles, photos of human faces optimal for recognition
Audible warning and intercom
Operator call and automatic replaying of warnings
PTZ video camera
Human detection and tracking. Face photo recognizable in the range of up to 100 m.
A stroboscope on the video surveillance mast
Automatic motion and system status alarms
Soft rubber, high-performance suspension
Sufficient cross-country ability for reliable travel on imperfect roads
Stereo cameras obstacle avoidance system
Back to travel route, stop in case of significant deviation from route
Invisible motion path illumination
IR illumination for obstacle detection at night
An intelligent security and video analytics system is the most cutting-edge solution in the 5th generation of security robots. Based on groundbreaking solutions from Nvidia, a leader on the market of video super processors, SMP Robotics programmers developed fantastically efficient and reliable solutions. The game-changing capabilities of deep-learning neural networks enabled to surpass the human capabilities of face and human recognition on a long distances.