Demand is rising for AI tools in retail. Read the Gartner® Report, “Emerging Technologies and Trends Impact Radar: Artificial Intelligence in Retail” now. Learn More
Industrial companies can detect and monitor leaks accurately using Computer Vision from Chooch AI by deploying AI onto an edge device. These systems are useful in detecting potential environmental hazards, safety threats, and remote assets that require maintenance. Leak detection provides industrial companies with the ability to monitor key infrastructure in remote areas safely, accurately, and cost-effectively.
Mask detection using AI increases public safety by reducing the spread of infectious diseases, such as COVID-19, and accelerating the reopening of the world. These artificial intelligence models provide a lot of value to Chooch AI customers because they increase safety and ensure legal compliance.
When deploying real-world systems, it’s crucial to think about how the system will be built and structured. “Edge computing” is a hot computing trend that is reshaping the standard topology of distributed systems. So what is an edge AI platform, exactly, and what are the benefits of edge platforms for your business?
Edge AI is everywhere—and if you haven’t noticed it already, you certainly will very soon. The intersection of artificial intelligence and edge computing, edge AI prefers to perform computations on “edge” devices that are physically located close to the source of the data.
The answer to the question “Which technology firm has cutting-edge AI capabilities in 2021?” heavily depends on where you’re looking and what kind of features and use cases you’re considering. The good news is that artificial intelligence has never been so freely available to anyone who can afford it. Developments such as edge AI and pre-trained language models are democratizing the field of artificial intelligence, putting even state-of-the-art accomplishments within reach for the end user.
The traditional way of doing AI has been to offload the computation to remote servers in the cloud, rather than on the local device where the data was collected. This is for a very good reason: many AI tasks are extremely resource-intensive, requiring large amounts of processing power in order to finish in a reasonable time.
The question of the “best edge AI solutions” is, of course, a little subjective to begin with. What is the use case that you’re concerned with, and what are the metrics by which you’ll be judging the “best edge AI”?
Far from making edge AI less critical, 5G can actually complement edge AI, with both technologies working in concert to digitally transform your business.
Edge AI and the Internet of Things (IoT) are two cutting-edge technology trends that offer the potential to digitally transform your business:
This presentation by Michael Liou was part of the Open Systems Media AI Day, Deploying Vision Systems with AI Capabilities. Because of the proliferation of edge devices, computer vision is one of AI’s killer apps in the form of edge AI.