C-UAS Hub Article Features Walaris
ESG ELYSION Integrates with Walaris AirScout Verify
ESG has announced the successful integration of AI-based software Walaris AirScout Verify for automated camera-based detection and verification of drones into ESG’s core intelligence for drone defense, ELYSION.
ESG has established a new standard in its efforts to enhance the performance of its portfolio for detecting and defending against uncooperative drones through targeted development. By seamlessly integrating Walaris AirScout Verify, an AI-powered software that automatically detects and verifies drones via cameras, into its core intelligence for drone defense, ELYSION, ESG has significantly improved its effectiveness and efficiency.
ELYSION is an advanced software core that builds upon the GUARDION platform, incorporating a processing core intelligence and a map-based situation display that is highly networked. This software has been developed based on extensive operational experience and feedback from a diverse range of customers and users, including civilians, police, officials, and military personnel. This ensures that ELYSION is well-suited to meet the complex and varied requirements of these operations.
Walaris AirScout Verify
Integrating the Walaris AirScout Verify AI-tracker with ELYSION has revolutionized how ESG controls its cameras for detecting drones. The AI tracker employs innovative image recognition algorithms to scan the video image from the day and night vision channels to locate the drone. Once the drone is detected, Walaris AirScout Verify assigns a unique identification number, activating the tracker with a single button press instead of requiring manual selection. Once the AI tracker verifies the drone sighting, ELYSION automatically integrates the data from other sensors, even without a radar track.
This is especially important for hovering drones, which are not consistently detected by all radar systems, and significantly improves the speed and quality of detection. Additionally, this reduces the operator’s workload, allowing them to focus on visual verification and initiating defensive measures. Furthermore, this improvement in positional accuracy allows for more precise instruction of directed effectors, increasing their effectiveness.
SOURCE: C-UAS Hub