www.magazine-industry-usa.com
18
'25
Written on Modified on
e-con Systems Introduces Edge AI Vision Compute Platform
The Jetson-based compute box is designed to consolidate edge AI processing, multi-sensor vision, and device management for autonomous systems.
www.e-consystems.com
Darsi Pro—NVIDIA Jetson Orin NX-powered Edge AI
At CES 2026 in Las Vegas, e-con Systems will introduce Darsi Pro, its first edge AI vision compute box, targeting robotics, mobility, and intelligent traffic systems that require high-performance on-device inference and synchronized multi-sensor processing.
Edge AI compute aligned with autonomous workloads
Darsi Pro is built on the NVIDIA Jetson platform and is specified to deliver up to 100 TOPS of AI performance, positioning it for real-time perception and decision-making in autonomous and semi-autonomous systems. The platform is designed as a production-ready compute box rather than a development-only module, combining edge AI acceleration with industrial enclosure requirements for field deployment.
The system is compatible with NVIDIA JetPack 6 and later releases, aligning it with current software frameworks used in robotics and vision-based automation.
Multi-camera and multi-sensor integration
A key focus of Darsi Pro is sensor scalability. The GMSL variant supports connectivity for up to eight synchronized GMSL cameras, enabling high-bandwidth, low-latency image capture across multiple viewpoints. Beyond cameras, the platform supports sensor fusion with LiDAR, radar, inertial measurement units, and other inputs, using Precision Time Protocol (PTP) to maintain time alignment across data streams.
This synchronization capability is critical for applications such as autonomous mobile robots and intelligent transportation systems, where perception accuracy depends on correlating data from heterogeneous sensors in real time.
Connectivity and device management for deployed fleets
Darsi Pro integrates multiple I/O and networking interfaces, including dual Gigabit Ethernet with Power over Ethernet, USB 3.2, HDMI, CAN, GPIO, IMU interfaces, and wireless module support. This range of interfaces is intended to support deployment across mobile platforms, fixed infrastructure, and mixed indoor–outdoor environments.
For fleet-scale operation, the system is designed to work with e-con Systems’ CloVis Central™ cloud-based device management platform. This enables over-the-air software updates, remote configuration, and device health monitoring, addressing lifecycle management requirements commonly associated with large autonomous deployments.
Unified sourcing of compute, cameras, and software
With the introduction of Darsi Pro, e-con Systems positions itself as a single-source supplier for edge AI vision systems, combining compute modules, carrier boards, camera hardware, and software frameworks into a unified platform. The company’s background in embedded imaging, including support for GMSL2, FPD-Link, and Ethernet cameras and advanced image signal processor tuning, is intended to reduce integration effort and variability across vision-driven applications.
The platform is housed in a rugged enclosure designed for wide operating temperature ranges, reflecting requirements in industrial, mobility, and outdoor infrastructure environments.
CES 2026 demonstrations and roadmap
e-con Systems will demonstrate Darsi Pro from January 6–9, 2026, at the Las Vegas Convention Center, North Hall, Booth #9574. Planned demonstrations include autonomous license plate recognition, delivery robotics, and a multi-camera retail inventory robot using high-resolution, ultra-low-light imaging for navigation, obstacle detection, and shelf analytics.
The company is also developing additional Darsi variants, including a Power over Ethernet model and future support for NVIDIA Jetson Thor, indicating an intent to extend the platform across different performance and deployment profiles.
By combining high-performance edge AI compute, synchronized multi-sensor support, and cloud-based device management in a single system, Darsi Pro addresses integration and deployment challenges commonly encountered in robotics, mobility, and intelligent transportation projects.
www.e-consystems.com
At CES 2026 in Las Vegas, e-con Systems will introduce Darsi Pro, its first edge AI vision compute box, targeting robotics, mobility, and intelligent traffic systems that require high-performance on-device inference and synchronized multi-sensor processing.
Edge AI compute aligned with autonomous workloads
Darsi Pro is built on the NVIDIA Jetson platform and is specified to deliver up to 100 TOPS of AI performance, positioning it for real-time perception and decision-making in autonomous and semi-autonomous systems. The platform is designed as a production-ready compute box rather than a development-only module, combining edge AI acceleration with industrial enclosure requirements for field deployment.
The system is compatible with NVIDIA JetPack 6 and later releases, aligning it with current software frameworks used in robotics and vision-based automation.
Multi-camera and multi-sensor integration
A key focus of Darsi Pro is sensor scalability. The GMSL variant supports connectivity for up to eight synchronized GMSL cameras, enabling high-bandwidth, low-latency image capture across multiple viewpoints. Beyond cameras, the platform supports sensor fusion with LiDAR, radar, inertial measurement units, and other inputs, using Precision Time Protocol (PTP) to maintain time alignment across data streams.
This synchronization capability is critical for applications such as autonomous mobile robots and intelligent transportation systems, where perception accuracy depends on correlating data from heterogeneous sensors in real time.
Connectivity and device management for deployed fleets
Darsi Pro integrates multiple I/O and networking interfaces, including dual Gigabit Ethernet with Power over Ethernet, USB 3.2, HDMI, CAN, GPIO, IMU interfaces, and wireless module support. This range of interfaces is intended to support deployment across mobile platforms, fixed infrastructure, and mixed indoor–outdoor environments.
For fleet-scale operation, the system is designed to work with e-con Systems’ CloVis Central™ cloud-based device management platform. This enables over-the-air software updates, remote configuration, and device health monitoring, addressing lifecycle management requirements commonly associated with large autonomous deployments.
Unified sourcing of compute, cameras, and software
With the introduction of Darsi Pro, e-con Systems positions itself as a single-source supplier for edge AI vision systems, combining compute modules, carrier boards, camera hardware, and software frameworks into a unified platform. The company’s background in embedded imaging, including support for GMSL2, FPD-Link, and Ethernet cameras and advanced image signal processor tuning, is intended to reduce integration effort and variability across vision-driven applications.
The platform is housed in a rugged enclosure designed for wide operating temperature ranges, reflecting requirements in industrial, mobility, and outdoor infrastructure environments.
CES 2026 demonstrations and roadmap
e-con Systems will demonstrate Darsi Pro from January 6–9, 2026, at the Las Vegas Convention Center, North Hall, Booth #9574. Planned demonstrations include autonomous license plate recognition, delivery robotics, and a multi-camera retail inventory robot using high-resolution, ultra-low-light imaging for navigation, obstacle detection, and shelf analytics.
The company is also developing additional Darsi variants, including a Power over Ethernet model and future support for NVIDIA Jetson Thor, indicating an intent to extend the platform across different performance and deployment profiles.
By combining high-performance edge AI compute, synchronized multi-sensor support, and cloud-based device management in a single system, Darsi Pro addresses integration and deployment challenges commonly encountered in robotics, mobility, and intelligent transportation projects.
www.e-consystems.com
