Transforming Industries with Vision-Enabled IoT
Innovative computer vision in IoT is revolutionizing retail, smart homes, and beyond—enhancing cities, mobility, safety, and manufacturing with smarter-than-ever monitoring and robotics. Powering these advances, vision-enabled devices integrate imaging, machine learning, AI security, and cloud computing into a seamless, high-performance system.
Powering the Future of Vision Technology
With over 80% of smart cameras built on Arm-based technology, our expanded portfolio meets the diverse needs of vision devices. Spanning CPUs, ISPs, NPUs, and GPUs, our IP delivers choice, flexibility, and performance for next-generation vision platforms.
Arm Cortex-A CPUs
Arm Cortex-A processors meet performance, power, and cost needs for edge AI devices.
Arm Mali GPUs and ISPs
The GPU and ISP features improve on-device graphics and deliver a high-performance image quality.
Arm Ethos NPUs
Ethos NPU delivers performance, power, and efficiency for future AI workloads and machine learning needs at the edge.
Unlock the Power of Smart Vision
Arm is advancing the development of vision-enabled devices with the hardware IP, solutions, software, tools, and standards to achieve performance and scalability with accelerated time to market.

Tools
Accelerating Development with Arm Tools
Arm offers tools to support development. Arm Keil and Arm Development Studio help speed up design, while tools like Arm IP Explorer and Arm Virtual Hardware simplify IP selection and enable software development before hardware is available.

Security
Built-In Security and Portability
Strong foundational standards, such as Arm SystemReady, PSA Certified, and Arm CMSIS help ensure secure, portable devices—accelerating development and innovation at scale.
Latest News and Resources
- NEWS and BLOGS
- White Papers

How to Build Computer Vision Solutions
Designing and deploying a competitive end-to-end solution for smart vision is a complicated task, often beyond the expertise of one company. This paper outlines the factors developers should consider before starting a design and when facing the challenges of integrating the necessary IP, software, tools, and standards for smart vision.
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