Edge Computing
How Edge Computing is Transforming Enterprises
April 13, 2023
AI-powered IoT cameras are on track to add over 4 trillion kilograms in annual carbon dioxide emissions (Kg CO2e) by 2030, the equivalent of adding 860 million cars to the road in a decade.
Better AI has the potential to reduce these emissions significantly.
1Better AI can save 98.8% of carbon emissions than regular AI-powered IoT cameras.
Edge devices consume substantially less power than cloud devices. Here’s what we found:
An Edge device with a camera produces 4kg of CO2 per year.
* We assume the use-case requires near real-time framerate. Since we can already achieve ~24 FPS on a single RPi3B+ core, the max capacity per RPi3B+ is 4 near real-time cameras since it has 4 cores.
Network Access produces 123kg CO2 per year.
Cloud Inference produces 168kg CO2 per year.
* We assume that to achieve the same near real-time frame-rate (~24 FPS) per camera as the reference RPi3B+, a cloud GPU (without Xailient’s DNN) would only manage 5 cameras using YOLOv3 (since a YOLOv3 inference on a Titan X GPU (much faster than K80) is only 34 ms/frame on average).
The number of IoT devices is expected to reach 125-500 Billion by 2030, and assuming that 20% of them will have cameras, IoT devices with cameras are a 13-100 billion unit market. Considering that 12% of the market has Xailient Edge AI, 500 million tonnes of CO2 will be saved annually by 2030.
Each AI Camera device produces 4 KgCO2e per year. With Cloud AI, the network for data transmission produces 123 Kg of CO2 per year, and Cloud inference produces 198 Kg CO2e per year. In contrast, with Edge AI, networking and the Cloud are not required as processing takes place at the Edge device, closer to the data source, thus saving 98.8% of CO2 production per year.
December 28, 2022
Introducing Orchestrait: Face recognition at the edge for smart home devices SAN FRANCISCO, December 28, 2022 /PRNewswire/ — Orchestrait is the world’s first privacy-safe face recognition solution that uses state-of-the-art artificial intelligence (AI) at the edge to ensure full compliance with biometric data and privacy laws across the world. By processing data on edge – […]
March 14, 2022
Xailient specializes in extremely efficient low-power computer vision. Intel's OpenVINO specializes in maximizing the performance and speed of computer vision AI workloads. OpenVINO improved Xailient FPS 9.5x on Intel hardware to 448 FPS. Together, Xailient-Intel outperforms the comparable MobileNet_SSD by 80x. Even after Intel worked the OpenVINO magic on MobileNet_SSD, Xailient-OpenVINO is 14x faster.
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