Exploring AI on the Edge


May 15, 2023

As technology continues to evolve, so do our expectations for fast, reliable, and secure data processing. Edge computing is a critical component of modern computing, providing a decentralised approach to data processing that offers numerous benefits over traditional centralised computing architectures. 

Improving Business Efficiency

Edge computing is capable of outperforming traditional applications running on central processors, reducing the time it takes for devices to share information, and enabling local action to be taken automatically. All of this drastically accelerates the speed at which organisations reach their goals, streamlining processes and increasing driving efficiency.

Reduced latency improves performance

Reducing the amount of time it takes for data to travel from its source to its destination is important for applications that require real-time processing, where even a few milliseconds of delay can cause significant issues. By reducing latency, data can be analysed and acted upon more quickly, leading to improved performance, responsiveness, and user experience, particularly important for applications that require immediate action, such as autonomous vehicles or industrial automation, where delays in data processing could have serious consequences. 

Security and privacy assured

Edge computing reduces security risks during data transmission, enables local data storage and processing for better control and compliance, and adds an extra layer of security through local encryption and processing.

Bringing AI to the Edge

Combining Edge Computing with AI, like the Hailo-8™ AI accelerator, high performance intelligent decision-making can be achieved at the edge within milliseconds. This enables real-time processing and analysis of large volumes of data for various applications including smart transportation systems and industrial automation.

AI algorithms detect patterns, make predictions and recommendations; and take automated actions based on data analysis. AI-powered robotic arms in conjunction with Video Management Systems can uitilise multiple cameras and vision to adjust their approach and actions. Hailo-8 modules can be cascaded to meet the most complex processing needs, reducing errors and downtime and boosting production.

Edge Device Solutions

Edge computing can be performed on a variety of devices, depending on the specific use case and the amount of data that needs to be processed. From System on modules (SoMs), and Single Board Computers (SBCs) utilising the i.MX8 and i.MX93 processors and intergrated AI/ML neural processing unit to powerful ARM or X86 Gateways and rugged Industrial PCs with higher processing and memory capabilities.

This technology is at the heart of what we do. We take the time to understand your project and application, creating a bespoke integrated system that's optimised to meet your business needs. Contact us to find out more.