GDPR Thermal Scanning with RedX

Case Study: GDPR Compliance Person Detection System.

Background:

In the fast-paced telecommunications industry, ensuring the safety of workers during the construction and maintenance of tower infrastructure is paramount. A leading tower company, which specializes in erecting and leasing tower structures to telecom operators, aimed to elevate its safety protocols. To achieve this, they turned to innovative AI technology and partnered with us to deploy a state-of-the-art solution.

The Challenge:

The security teams at airports are always on the lookout for suspicious individuals or behaviour to identify possible illegal activities. However, using traditional cameras is not possible due to GDPR restrictions, which ensure that the privacy of individuals is maintained and no personal information is captured during occupancy detection.

The Solution: RedX AI Automation Platform:

We deployed an array of IoT thermal cameras in areas of the airport where traditional cameras were prohibited. The image data from the IoT thermal camera array is then processed by our computer vision solution in real-time to detect the presence and number of people in the area.

To comply with GDPR regulations, our solution preserves the privacy of individuals by not capturing any personal identifiers. The client used it to detect suspicious behaviour, such as a person was loitering in certain areas for more than the specified time. 

This occupancy detection system helped reduce instances of gold smuggling at Sri Lankan airports, while respecting the privacy of individuals being recorded.

Impact & Results:

The deployment of the RedX platform transformed safety monitoring from a manual, error-prone process to an automated, efficient, and reliable system. The ground-based human tracing cameras provided comprehensive coverage of the site, enabling real-time detection and alerts for any safety gear non-compliance.

This not only streamlined the monitoring process but also significantly enhanced the safety culture among workers. The tower company experienced a marked reduction in safety incidents and non-compliance, highlighting the effectiveness of integrating AI technology into safety protocols.

Conclusion:

The integration of RedX at the tower company’s construction sites has set a new industry standard for safety and efficiency. This case study exemplifies our dedication to harnessing AI for meaningful applications, ensuring safer work environments, and leading the charge in technological innovation within traditional sectors.

This case study highlights our commitment to improving workplace safety through technological innovation, demonstrating how AI can be leveraged to make traditional industries safer and more efficient.