Artificial Intelligence (AI) is rapidly changing the way businesses operate, and its applications are virtually limitless.
AI-based solutions can help companies optimize their workflow, streamline their processes, and improve efficiency, saving time and money in the long run.
The scale of hardware specification and space requirement for an AI-driven automated environment can vary with the complexity of the work it needs to carry out.
The ability to harness the power of AI utilising the ideal hardware for the job can provide businesses with a competitive edge and an opportunity to thrive in the digital age.
One of the most exciting AI applications in the business world is computer vision. With computer vision, machines can analyse visual data in real time and make decisions based on what they see.
One example of this is number plate recognition, which can be used in various industries such as law enforcement, parking management, and toll collection.
A powerful SBC such as the ASUS Tinkerboard S can enable businesses to perform number plate recognition in real-time and with high accuracy. With its powerful 1.8 GHz quad-core CPU, with accelerated H.264/H265 decode, the Tinkerboard S can handle the processing of large amounts of visual data and provide accurate results.
Another example of AI-based applications is in the agricultural industry. Sorting small fruits such as berries by hand can be time-consuming, expensive, and accuracy is limited by the capability of humans’ visual field.
AI-based solutions accelerated by GPUs are specifically optimized for AI intensive tasks. Products such as the Nvidia RTX Professional Series Cards, can easily provide unprecedented accuracy and efficiency.
This graphics card’s AI-powered technology utilises visual recognition algorithms to identify the size, shape, and quality of each fruit, enabling it to sort them quickly and accurately. This technology can help farmers increase their yield, reduce waste, and improve overall quality and productivity.
However, implementing AI-based solutions can be challenging, especially for businesses with limited resources or expertise. Fortunately, there are many resources available to help businesses harness the power of AI.
For instance, businesses can leverage open-source AI frameworks such as TensorFlow and PyTorch, which provide a range of pre-built AI models that can be customized to fit the business’s specific needs. These frameworks have a large and active community of developers, reducing the effort for businesses to implement AI-based solutions.
In terms of platform, despite there is a wide selection of cloud-based solutions available, Edge devices that processes data locally at the device level is often preferred. This approach can be particularly useful in situations where low latency is critical, such as real-time number plate and facial recognition.
By processing data locally, edge computing can reduce the delay between the data capture and the resulting action, providing faster and more accurate results. Moreover, with the growing awareness of personal privacy and security measures, having data processed locally also irons out the concern of violation of local privacy legislations involving the collection, storage, use and disclosure of personal information.
A good example of an AI accelerated edge device is the ASUS PE1000N, a compact, powerful, yet fanless edge computer designed for AI applications. The PE1000N is ideal for edge computing, as it can process large amounts of data locally and provide accurate results in real-time. This device can be used for a variety of applications, including object recognition, speech recognition, robotics and more.
In conclusion, the potential of AI is enormous, and the possibilities are endless. Ultimately, AI-based solutions can help businesses streamline their processes and optimize their workflow, providing a competitive edge in an ever-evolving digital landscape.
By utilising AI-powered devices and leveraging open-source solutions, businesses can increase their efficiency, reduce their costs, and improve their overall productivity.
For information, visit the ASUS Global website: PE1000N｜AIoT & Industrial Solutions｜ASUS Global