Golden Wealth Technology Limited
Golden Wealth Technology, a Hong Kong company founded in 2018, sells AI security products for airports, including runway debris detection and smart access control.
With 11 to 50 staff, it uses computer vision and facial recognition in its systems. It claims a 94 per cent cut in false alerts in trials at major Asian airports, which it does not name. The register holds no named deployment.
No verified deployments yet
Golden Wealth Technology Limited is profiled in the companies register, but no deployment has been verified against published evidence. Records are added as evidence is reviewed and graded.
Products & Solutions
2 productsAI FOD Detection System
The AI FOD Detection System is an advanced surveillance solution utilizing computer vision and deep learning to identify foreign object debris on airport runways. It operates through CCTV camera integration, offering real-time monitoring capabilities to enhance runway safety.
FOD on airport runways poses significant safety risks to aircraft during takeoff and landing. Traditional manual inspection is time-consuming and prone to human error. This system provides continuous automated monitoring to detect and alert ground crews to debris in real-time.
- The system provides continuous surveillance of airport runways, ensuring constant monitoring without the need for manual inspections.
- It automatically detects and identifies foreign object debris, reducing the risk of damage to aircraft during critical phases of flight.
- Real-time alerts are sent to ground crews, enabling immediate response to potential hazards and minimizing runway downtime.
- The system is designed to integrate seamlessly with existing airport infrastructure, allowing for easy deployment and operation.
3 more features
- It employs advanced deep learning models to improve detection accuracy over time, adapting to different environmental conditions.
- The user interface is intuitive and provides detailed reports and analytics on debris incidents, aiding in operational decision-making.
- Remote access capabilities allow airport personnel to monitor runway conditions from any location, enhancing operational flexibility.
Technical specifications (7)
- Operates on a deep learning algorithm architecture.
- Integrates with existing CCTV infrastructure.
- Real-time processing with latency under 2 seconds.
- Compatible with IP camera protocols.
- Supports high-definition video input.
- Runs on a cloud-based platform for scalability.
- Utilizes a convolutional neural network (CNN) for object detection.
Smart Access Control Platform
The Smart Access Control Platform is an AI-driven system that utilizes facial recognition technology to manage access at airport security zones. It enhances security and streamlines the movement of passengers and staff by eliminating physical barriers.
Traditional access control systems at airports often lead to congestion and delays, negatively impacting passenger experience. This platform addresses these issues by using AI-powered facial recognition to facilitate smooth, barrier-free access, thereby improving throughput and maintaining high security standards.
- The platform provides real-time facial recognition to ensure quick and secure access for authorized individuals without the need for physical identification checks.
- It supports high-volume throughput, allowing thousands of passengers to pass through security checkpoints efficiently each hour.
- The system is designed to adapt to various lighting conditions, ensuring reliable performance in different airport environments.
- It includes an intuitive dashboard for security personnel to monitor access points and manage alerts in real-time.
2 more features
- The platform offers seamless integration with existing airport security systems, enhancing overall operational efficiency.
- It features robust data encryption and privacy controls to protect sensitive information and comply with international regulations.
Technical specifications (6)
- Facial recognition accuracy: 99.8%
- Response time: <1 second per individual
- Architecture: Cloud-based with edge computing capabilities
- Compliance: GDPR and CCPA data protection standards
- Integration protocol: RESTful API
- Data format: JSON for data exchange
CCTV Analytics Suite
Register notes
Notes held in the Aerostack register. Aerostack has not independently verified them.
Earlier listing summary (4 groups)
Summary text from the earlier Aerostack listing. Figures in it are not independently verified.
- AI-powered Foreign Object Debris detection systems that monitor airport runways 24/7 using computer vision and deep learning
- Smart access control platforms that use facial recognition to manage airport security zones without physical barriers
- CCTV analytics software that analyses live video feeds in real time to detect safety incidents and unauthorised access
- Cameras integrated across airport infrastructure feed live video to deep learning models trained on debris and access-pattern recognition
- Alerts are dispatched to ground crew and security staff within seconds of a detection event, with location and visual evidence attached
- Performance metrics are tracked and reported through an operations dashboard, enabling proactive safety management
- Airport operators and runway safety teams who need automated 24/7 monitoring without increasing headcount
- Security directors managing high-throughput passenger terminals who require frictionless but robust access control
- Aviation regulators and insurers who require auditable safety records and incident logs
- Milestone Systems and Genetec Security Center for video management integration
- Axis Communications and Bosch Security Systems for hardware-level camera compatibility
- Honeywell Video Systems for enterprise security ecosystem connectivity
Profile data from the Aerostack companies register; deployment records from the verified register. Evidence grades: T1 first-party confirmation, T2 credible reporting. See Our approach for how records are graded.