e-con Systems to Debut AI Vision for Enhanced Facility Security
The company will showcase new edge AI compute platforms and generative AI integration for smart surveillance and autonomous site monitoring.
- By Jesse Jacobs
- Mar 02, 2026
e-con Systems will debut AI-driven imaging technologies at NVIDIA GTC and Embedded World 2026, focusing on how autonomous, real-time perception can be applied to physical security and facility management.
The showcase centers on the Darsi Pro, an edge AI compute platform built on the NVIDIA Jetson Orin NX module. This localized processing power allows security hardware to operate without relying on the cloud, which is critical for maintaining uptime in large-scale industrial environments.
By integrating this hardware into mobile robotics and fixed sensor arrays, it addresses several critical security requirements and safety challenges:
- Autonomous Perimeter Patrol: Powering mobile robots for 24/7 exterior monitoring and fence-line security without manual intervention.
- Intrusion Verification: Using 3D depth sensing to distinguish between environmental movement and unauthorized human entry in low-light or complex conditions.
- Potential Biometric Access Control: Leveraging high-resolution iToF cameras at secure entry points for enhanced authentication and anti-spoofing capabilities.
- Interactive Incident Response: Utilizing generative AI to allow operators to search live feeds using natural language queries, such as "locate the person in the red vest."
- Occupational Safety: Monitoring high-traffic distribution centers for near-miss incidents between human workers and industrial machinery.
During live demonstrations, the platform will manage synchronized streaming from eight high-dynamic-range (HDR) cameras. This multi-sensor fusion provides 360-degree situational awareness, allowing security systems to identify potential threats in crowded or visually noisy environments.
At NVIDIA GTC, the company will highlight a Holoscan camera pipeline integrated with multimodal generative AI. Built on the NVIDIA Jetson Thor platform, the solution enables intelligent scene understanding for smart cities, industrial safety, and smart surveillance. Security operators can use interactive, voice-driven queries and OCR-based text recognition to identify specific objects or personnel within a live video feed, streamlining the response to security breaches.
"We are focused on enabling scalable AI vision deployment across robotics and industrial applications," said Suresh Madhu, BU Head – Mobility at e-con Systems. "By combining our advanced camera design, edge AI compute, and end-to-end vision system integration with leading platforms like NVIDIA, we deliver complete, deployment-ready solutions."
For large-scale deployments, the company is also introducing a robotics computing platform based on the Ambarella CV72S system-on-chip. Built on a robust ROS2 stack, the platform integrates multi-camera support and pre-implemented navigation and mapping capabilities to accelerate the rollout of mobile surveillance units that patrol perimeters autonomously.
The company will demonstrate these technologies at Booth #3119 during NVIDIA GTC 2026 in San Jose (March 16–19) and at Hall 2, QUAD GmbH’s Booth #2-111 during Embedded World 2026 in Nuremberg, Germany (March 10–12).