As AI technology increasingly shapes the robotics and mobility sectors, e-con Systems is preparing to debut its new Darsi Pro vision box at CES 2026. This AI-powered platform combines imaging, processing, and connectivity to support diverse real-world applications. Offering AI performance up to 100 TOPS, Darsi Pro seeks to improve integration and efficiency for industries that require advanced robotic vision and autonomous functions. The company aims to draw attention at this year’s show, highlighting not only its hardware but also end-to-end cloud and customization services, reflecting a broader market shift towards unified, reliable AI solutions.
Previous coverage of e-con Systems often emphasized their role as a camera supplier, with a focus on OEM modules and embedded imaging technology. Earlier product launches centered on hardware capabilities like camera range, low-light performance, and connectivity options. In comparison, the Darsi Pro signals a strategic move towards complete vision-compute solutions, directly addressing edge AI deployment needs with built-in cloud management and broader sensor compatibility. This transition is in line with industry trends where integrated platforms are favored over single-function components, particularly for applications in robotics, logistics, and mobility. The increased emphasis on production readiness, cloud remote management, and support for multiple AI workloads positions Darsi Pro as part of a growing demand for unified edge AI systems.
How Does Darsi Pro Expand on Traditional Vision Platforms?
Darsi Pro, constructed on the NVIDIA Jetson platform, is designed to facilitate edge AI deployment for sectors such as robotics, intelligent transportation, and warehouse systems. The device supports up to eight synchronized GMSL cameras and ensures compatibility with NVIDIA JetPack 6, allowing integration into both existing and new operations. According to the company, industry users will have access to a rugged, multi-sensor solution with built-in device management via CloVis Central for remote monitoring and updates.
What Core Features Set This Platform Apart?
Key features include a selection of embedded cameras for different vision applications, synchronized data fusion from diverse sensors, and versatile connectivity options. The enclosure is engineered for durability across challenging environments, supporting both indoor and outdoor use.
“Darsi Pro, powered by NVIDIA Jetson, simplifies the entire edge AI deployment cycle by bringing edge AI compute, multi-sensor connectivity, and proven camera expertise together in one rugged solution,”
stated Ashok Babu, president of e-con Systems. The system is equipped to address the demands of next-generation autonomous applications, from delivery robots to medical devices.
Will Customization and Global Support Play a Role in Deployment?
e-con Systems is positioning itself as a single-source vendor, offering complete support for compute modules, cameras, software, and system integration. Customization services and integration support enable tailored solutions for unique client needs.
“This gives developers a faster, more reliable path to production for autonomous mobile robots, delivery robots, warehouse systems, and intelligent transportation systems and all from a single source,”
added Babu. The extensive product portfolio includes camera solutions already used across more than 350 global customer products, highlighting the company’s reach and experience in embedded vision.
CES 2026 will serve as the launch event for Darsi Pro, where live demonstrations are planned to showcase the platform’s role in applications like automated license plate recognition and robotics for inventory management. There, attendees can observe AI-driven functions including ultra-low-light vision, navigation, and analytics in real-time operational environments. The company offers scheduled meetings for those interested in deeper technical discussions or custom solutions. Future expansion is already underway, with additional Darsi variants, such as PoE-based models, also being developed to further accommodate industry needs.
Advancements in vision computing now demand not only raw processing but also robust cloud integration, rapid deployment, and ease of customization. Darsi Pro exemplifies this direction by combining edge AI capabilities with diverse sensor support and device management features, which is particularly valuable for industries seeking scalable, field-ready solutions for their autonomous systems. Potential users should consider the platform’s flexibility, integration potential, and support features when planning future robotics or mobility projects. As demand for smarter, more adaptable autonomous technologies accelerates, solutions like Darsi Pro will likely find adoption across sectors that depend on reliable machine vision at the edge.
