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World's most accurate AI for Renesas RA and RZ.

Plumerai provides fully optimized AI solutions for Familiar face identification and People detection. Our models are accurate, fast, and tiny. Trained on a dataset of 30 million images and videos, the AI offers precise detections in any scenario. The Renesas RA8 Arm Cortex-M85 MCU runs People Detection at 13 fps, and Familiar Face Identification at 4 fps. Renesas RZ MPUs are fully supported as well.

Documentation

RA8 ARM CORTEX-M85 PEOPLE DETECTION

13 frames⁄s

WITH A TINY FOOTPRINT

1.5 MB

People Detection

  • Detects each person in view, even if partially occluded.
  • Tracks people and assigns up to 20 unique IDs.
  • Indoor, outdoor, NIR lighting.
  • Detection distance of more than 20m / 65ft.
  • Trained with 30 million labeled images and videos.
  • Extensively validated on diverse people and settings.
  • Supports lenses up to 180 FOV.

Familiar Face Identification

  • Identifies individuals and strangers, even from a distance.
  • Offers both automatic and manual enrollment options.
  • Industry-leading accuracy: very few missed or incorrect identifications.
  • Detects strangers to reliably enable appropriate security responses.
  • Supports indoor, outdoor, and cameras with night vision
  • Detection distance exceeding 10m / 30ft.
  • Trained with 30 million labeled images and videos.
  • Validated across diverse demographics and environments.
  • Supports lenses up to 180 FOV.

Optimized for Renesas RA8 and RZ.

People Detection on RA8

  • Arm Cortex-M85 with Helium
  • Latency: 73.3 ms (single core)
  • Peak RAM usage: 289 KiB
  • Binary size: 1.2 MiB total

Familiar Face Identification on RA8

  • Arm Cortex-M85 with Helium
  • Latency: 255 ms (single core)
  • Peak RAM usage: 617 KiB
  • Binary size: 5.5 MiB total

Familiar Face Identification on RZ

  • Single Arm Cortex-A55 with Neon
  • Latency: 54 ms (single core)
  • Binary size: 5.5 MiB total

Get access to the Plumerai demos and libraries.

Integration into your system is easy with our C++ and Python APIs.

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There are many more applications where detecting or identifying people provides value. We're helping robots to detect humans, PIR-based motion sensors to become more accurate, detecting pedestrians to increase the efficiency of traffic lights and elevators, and many more.