OpenMV
Shields
Lens
Robotics
Book
Video
Download
Docs
Forum
OpenMV.io
GithubIn the security management of large-scale parks, industrial estates, or campuses, traditional methods such as manual patrols and video surveillance suffer from blind spots in supervision and low efficiency, making it difficult to promptly detect personnel anomalies or patrol deficiencies.
To this end, the park security system has introduced SingTown's OpenMV intelligent camera AI image recognition technology. Through AI machine vision and image recognition algorithms, it enables specific crowd identification and behaviour detection. The system can recognise wearing characteristics (such as uniforms, hats, text identifiers) and, combined with time and location information, determine whether they comply with designated patrol routes, achieving intelligent security monitoring and early warning.

The park security system utilises SingTown Technology's OpenMV intelligent camera AI image recognition technology to establish an intelligent patrol monitoring system based on AI machine vision and image recognition algorithms.
The OpenMV intelligent cameras deployed in key areas of the park can capture video streams in real time, detecting and identifying the attire, movements, and presence times of patrol personnel.
Through computer vision algorithms and deep learning models, the system can identify whether personnel are wearing uniforms according to standard specifications (such as dark blue security uniforms, caps, and security service insignia), and cross-reference time and spatial information to confirm whether they have entered designated areas for patrol during specified periods.
If the system detects patrols not conducted as scheduled, improper attire, or personnel absence, it will automatically trigger an alert notification on the APP and push it to the management centre, enabling real-time monitoring and anomaly alerts.
SingTown Technology's OpenMV smart camera features edge computing and real-time recognition capabilities. It can perform edge computing detection and judgment locally through on-device AI, eliminating the need for reliance on cloud servers, thereby ensuring data security and response speed. Its automatic exposure and illumination compensation functions adapt to changes in day-night and outdoor environments, guaranteeing reliable all-weather monitoring.
Leveraging SingTown Technology's integrated software and hardware platform, this embedded AI vision system can be swiftly integrated into existing security networks, enabling specific personnel identification, behaviour detection, time verification, and real-time alerting functions.
Through SingTown Technology's OpenMV intelligent camera recognition technology, park management has transitioned from "passive monitoring" to "active intelligent supervision," significantly enhancing safety management efficiency and automation levels.

AI Sentinel Based on OpenMV: Automatic Alert for Unsecured Key Locations
Automatically detects whether the door of a key location has remained open for an extended period and issues timely alerts.

Personnel crossing boundary triggers an alarm; OpenMV interprets the “sense of security boundary”
Detects personnel or equipment crossing virtual perimeter lines.

“AI Urban Management Officer” is here—An automated encroachment detection system built on OpenMV
Automatically identifies illegal street vending activities to support daily urban governance.

Improper storage of gas cylinders? Use OpenMV to automatically trigger hazard alerts
Automatically identifies non-compliant placement of gas cylinders to proactively detect gas-related safety hazards.

Did you perform live-line work without wearing insulating gloves? OpenMV will immediately issue an alert!
Automatically identifies whether personnel are wearing insulating gloves to assist in safe operations.

Leverage the OpenMV smart camera to detect surface defects on aluminium plates in real time
Online identification of defects on aluminium plate surfaces, such as scratches and dents, to support quality control.