Transformative and Secure Computer Vision Devices
IoT devices that use innovative computer vision technologies are transforming the world around us and delivering new experiences in diverse environments—from retail to smart homes.
These computer vision technologies are improving how cities optimize resources, increase mobility, and provide health and safety benefits. They’re also transforming manufacturing through improved production-line monitoring and smart robotics.
To bring these optimizations and opportunities to life, vision-enabled devices rely on increased compute capabilities, pulling together imaging, machine learning, security, and cloud enablement into one heterogenous system.
Collaboration and Innovation on Arm
The Arm ecosystem is advancing the development of vision hardware, software, and systems with smart vision solutions across all market sectors.
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.
IP and Solutions
With over 80% of smart cameras today built on Arm-based technology, we have expanded on this experience to provide a portfolio of products that meet the needs of the breadth of vision devices. This portfolio spans the CPU, ISP, NPU, and GPU, with IP that offers choice and flexibility for the wide-ranging needs of vision platforms.
Software
Arm offers a rich ecosystem of supported software to streamline and accelerate development. Arm-NN, CMSIS-NN, and Vela Compiler simplify the development of ML applications and integrations with third-party software stacks, to reduce software complexities.
Tools
Arm offers tools to support development. Arm Keil and Arm Development Studio accelerate design and development, while the developer experience is further optimized by tools such as Arm IP Explorer and Arm Virtual Hardware. These help simplify the process of IP selection and enable software development ahead of hardware availability.
Standards
Strong foundational standards, such as SystemReady, PSA Certified, and CMSIS, ensure that portability and security are built into every device to help speed development and innovation at scale.

How to Build Computer Vision Solutions
Devices that can see and act on visual information have a significant advantage for IoT in terms of functionality and efficiency. However, 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.
Products Powering the Future of Smart Vision
More Resources
Tech Talk
- Nota.ai - A Hardware-aware Approach for Designing Neural Models
- Emza Visual Sense & Alif Semiconductor – Object Detection with Arm’s Ethos-U55
- Edge Impulse – How to Run Object Detection on Arm Cortex-M7 Processors
- Advancing Computer Vision on the Edge with ML
- Deeplite – Faster Time-to-production for AI on Arm
Case Study
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