
Empowering Industrial Vision AI
The powerful combination of vision-based technologies and edge AI promises major gains in efficiency, security, and safety. But designing these solutions requires specialized expertise. Discover key trends, challenges, and the evolution of development platforms in this in-depth study by VDC Research.


NPU-Accelerated Edge Vision
Embedded vision integration is critical to the success of AI-enabled systems, whether in AMRs, AGVs, quality inspection systems, or collaborative robotics. Preconfigured embedded hardware and software vision building blocks make it easy for developers to quickly create custom solutions.


Wireless TSN
Wireless Time Sensitive Networking (WTSN) enables deterministic, low-latency communication and real-time synchronization over standard Wi-Fi Ethernet extending real-time communication to autonomous and mobile applications. The first standardized modules are already simplifying the design-in of this upcoming standard.


Introduction to workload consolidation
Leveraging multicore processors and virtualization, you can consolidate multiple tasks onto a single platform, where each task operates securely and independently from each other. This is an effective way to reduce costs and complexity in embedded applications.


How to design robotic brains
The economic value of the industrial robotics market is growing rapidly and is expected to reach $US 214.60 billion, with a 22.80% compound annual growth rate (CAGR) by 2030. This will be driven, in part, by the integration of new technologies like artificial intelligence (AI), which is expected to contribute $US 44.5 billion to this figure.


Adapting industrial edge servers to evolving markets
Data processing is surging in sectors like manufacturing, energy, and smart cities, creating a booming market for edge servers. According to Global Market Insights, this will create a $29 billion opportunity for near- and far-edge computing solutions by 2025


System consolidation in autonomous mobile robots
Software functions define the capabilities of autonomous robots. Consolidating all functions on one system can help to make your designs more powerful, cost effective, and resilient. Learn what is possible and what to consider in our whitepaper.



















