Maxim Integrated Teams with Xailient to Provide World’s Fastest and Lowest-Power IoT Face Detection

27 JULY 2021

MAX78000 AI microcontroller and Xailient’s Detectum™ neural network detects and localizes faces in video and images at just 12ms per inference

Maxim Integrated Products, Inc. (NASDAQ: MXIM) and Xailient Inc., a company focused on artificial intelligence (AI) for the edge, today announced that Maxim Integrated’s MAX78000 ultra-low power neural-network microcontroller detects and localizes faces in video and images using Xailient’s proprietary Detectum™ neural network. Xailient’s neural network draws 250x lower power (at just 280 microJoules) than conventional embedded solutions, and at 12 milliseconds (ms) per inference, the network performs in real time and is faster than the most efficient face-detection solution available for the edge.

Battery-powered AI systems that require face detection, such as home cameras, industrial grade smart security cameras and retail solutions, require a low-power solution to provide the longest possible operation between charges. In addition to supporting standalone applications, Maxim Integrated’s microcontroller paired with Xailient’s neural network improves overall power efficiency and battery life of hybrid edge/cloud applications that employ a low-power ‘listening’ mode which then awakens more complex systems when a face is detected.

Xailient’s Detectum™ neural network includes focus, zoom and visual wake-word technologies to detect and localize faces in video and images at 76x faster rates than conventional software solutions, at similar or better accuracy. In addition, the flexible network can be extended to applications other than facial recognition, such as livestock inventory and monitoring, parking spot occupancy, inventory levels and more.

Key Advantages

  • Longest Battery Life/Highest Energy Efficiency: Xailient’s neural network optimizes the computational efficiency and flexible low power sleep modes offered by Maxim Integrated’s ultra-low power MAX78000 microcontroller. Together, the products extend the operating time of coin cell battery-powered, hybrid edge/cloud applications for many years.
  • Fastest Inference Speed for Improved Accuracy: Speed is a significant factor for AI because with faster inferencing, you can react in real time or quickly average multiple inferences to improve accuracy. Detecting faces in an image in just 12ms provides that flexibility between response time and accuracy.

Commentary

“With the Xailient Detectum neural network, the MAX78000 is capable of both classification and localization, so in addition to seeing faces in the image or video you can also determine where those faces are in the image’s field of view,” said Robert Muchsel, Maxim Integrated Fellow and architect of the MAX78000 microcontroller. “Advanced applications include person, vehicle and object counting, presence or obstruction detection, as well as path mapping and footfall heatmaps.”

“AI is on track to be the second largest carbon emitting industry,” said Dr. Shivy Yohanandan, Xailient CTO and inventor of Xailient’s Detectum neural network technology. “Replacing 14 legacy Internet protocol cameras that use traditional cloud AI with edge-based cameras equipped with the Maxim Integrated MAX78000 paired with Xailient’s neural network has the equivalent carbon impact of taking one gasoline powered car off the road.”

Availability and Pricing

  • The MAX78000 is available at Maxim Integrated’s website for $8.50 (1000-up, FOB USA); also available from authorized distributors
  • The MAX78000EVKIT# evaluation kit is available for $168
  • The Detectum neural network, series models, tools, services as well as focus, zoom and visual wake word technologies are available directly from Xailient

Further Information

Maxim Integrated

Leave a Reply

Your email address will not be published. Required fields are marked *

  • We use your personal data ONLY to respond to your comments/requests.
  • To receive responses that are appropriate to your requests, we may transfer your email address and your name to the author of the article.
  • For more information on our Privacy Policy and Personal Data Processing, please visit the page: Privacy Policy (GDPR) & Cookies.
  • If you have any questions or concerns regarding the way we process your personal data, you can contact our Data Protection Officer at: gdpr@esp2000.ro
  • Subscribe to our magazine newsletter