AI can make the IoT more responsive and intelligent, but only if devices can keep up with the data processing needs of next-generation IoT applications, like the voice and vision systems that are changing the way humans and machines interact both at home and in industrial settings.
For IoT devices that need to process high volumes of data, securely, in near real time, without dependency on the cloud, Edge AI brings intelligent data processing capabilities to the edge of the network.
Benefits of Edge AI for IoT
With connectivity closer to the source, data does not need to travel to the cloud and back, enhancing processing speeds, reducing latency, lowering bandwidth costs and maintaining closer control of data security. This is critical in situations where many IoT devices work together to process massive amounts of data, like surveillance cameras, or where data privacy and security is imperative, like a robot or cobot in a hospital setting that needs to send patient data.
- Faster processing speeds
- Lower bandwidth usage
- Reduced latency
- Increased data security & privacy
Why Integrate Edge AI?
Integrating Edge AI into IoT device design, creates new possibilities for demanding use cases that require heavy IO and reliable embedded AI processing, such as mobile robotics, voice and vision systems, handheld devices, industrial PCs and more.
The Future Is at the Edge
Edge AI supports smart societies of the future where humans and robots interact more closely than ever before. For example, autonomous vehicles rely on vision systems to monitor the road and make split-second decisions about where to steer; in this case, what would happen if latency was encountered as a child ran into the street? Voice and vision systems will play an increasingly important role as cobots support our day-to-day activities, enhancing our eyes and ears with facial recognition and audio recognition and translation. These use cases require connectivity at the edge of the network to achieve the desired design goals.
How to Implement Edge AI in Your IoT Product Design
New IoT devices can integrate Edge AI in the product design stage using an Edge-Ai-enabled chipset, or operate with a smart hub to connect and process data from multiple sensors that may not have built-in AI, adding an intelligent layer between basic IoT devices and the cloud.
Get Empowered with MediaTek Genio
Manufacturers of consumer, enterprise and industrial devices can innovate confidently and bring leading-edge IoT devices to market faster with the MediaTek Genio. MediaTek Genio incorporates Edge AI to intelligently process data locally. The CPU, GPU and AI Processing Unit (APU) in each Genio chipset work together to enhance intelligent autonomous capabilities at the edge and support high-quality displays, cameras and more.
