All
Edge Computing
What Worldcoin’s Orb Means for the Future of Biometrics—and Why the Real Opportunity Is at the Edge
May 3, 2025
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.
May 9, 2025
MACAU — May 9, 2025 — Xailient Inc., the world leader in privacy-safe computer vision AI, today announced the debut of a groundbreaking biometric innovation in partnership with global gaming leader Konami Gaming, Inc. At G2E Asia 2025, Konami will unveil SYNK Vision™ Tables, a new addition to its award-winning SYNKROS® casino management system, powered by Xailient’s privacy-preserving facial […]
September 27, 2024
by Newsdesk Fri 27 Sep 2024 at 05:39 Global industry supplier Konami Gaming is set to unveil new technology at Global Gaming Expo (G2E) in Las Vegas next month that brings its player facial recognition solution for Electronic Game Machines to table games. The expanded offering, in partnership with Xailient, follows the launch of SYNK Vision […]
We see things differently in the dynamic field of computer vision AI
All
Edge Computing
All
Casino and Gaming
We empower companies to bring computer vision AI products to market
faster and with less investment
You’ll get insights and resources into:
