🔔Notification overload: SOLVED!🔔
Your gardener mows the lawn and triggers 34(!) push notifications in less than an hour.
Plumerai Multi-Camera Re-Identification solves this by analyzing people’s non-facial appearance, such as clothing, to re-identify people from any angle.
Welcome to the Partech family, @plumerai!
We’re thrilled to co-lead Plumerai’s $8.7M Series A alongside @otb_ventures, with support from Acclimate Ventures and existing investors. Founded in 2017 by @roelandnus and Taras Iakymchuk, Plumerai is a... (1/7)
The news is out! Thank you @bheater@TechCrunch
Our on-device AI solution is powering millions of smart home cameras.
Honored to have the support of Nest founder @tfadell, at Build Collective, and to partner with Chamberlain Group, whose @myQConnect is used by 11M+ people.
The Plumerai Inference Engine once again leads the field! It's the obvious choice for AI developers and semiconductor companies that want to run fast and memory-efficient AI on their MCUs, without any loss in accuracy.
Thank you @sallywf for reporting on this!
The latest results for MLPerf Tiny from @MLCommons have just been announced and the Plumerai Inference Engine wins again!
2.6x faster, 2.0x more memory efficient, and 3.6x smaller code size.
We now also have state of the art results on Arm Cortex-M0/M0+: blog.plumerai.com/2023/06/mlperf…
Exciting news! You can test Plumerai People Detection right here in your browser. On your phone, laptop or tablet. Go see how accurate our tiny AI model is!
And know that your privacy is preserved, we do not capture any images or data.
plumerai.com/people-detecti…
"In less than 0.5 seconds after power-on-reset you have a running vision AI system, which is giving you an 'Instant-on AI' experience, which can be achieved only on MCUs, leading to low-cost and lower power AI solutions for a wide range of applications."
Plumerai People Detection AI running on the industry's first Arm Cortex-M85 from Renesas. Highly-accurate people detection with 13 frames per second, on a microcontroller! 🚀
Our first AI demo using the Arm® Cortex®-M85 processor took the stage at @embedded_world last week. Bernd Westhoff, Director of Product Marketing, IoT Platform, presented our first vision AI solution for person tracking and identification.
bit.ly/3ZXiAM1#AI#ML#EW23
@Jannemann92@RenesasGlobal Tiny systems that detect intruders, or control lights, heating, and air conditioning based on the location of people in the house. Tracking usage of meeting rooms in smart buildings, intelligent traffic lights, measuring footfall in smart retail, patient monitoring, etc. Thanks!
Plumerai People Detection running on the industry's 1st Arm Cortex-M85 microcontroller, from @RenesasGlobal. We have never seen this level of performance before on a microcontroller: super accurate people detection with 77 ms latency / 13 fps, without an accelerator!
Plumerai People Detection AI is running on the super tiny #ESP32-S3 at Espressif’s booth! There’s only one day left at Embedded World to check it out.
Reach out to us if you want to get access to the demo application.
Plumerai People Detection AI enables you to mask people in your camera feed in real-time. As the AI runs on the edge, the footage leaving the camera is anonymized, helping you to comply with privacy laws such as GDPR and CCPA. Find out more at plumerai.com/people-detecti…
Security cameras often record footage that isn’t relevant and stream it to the cloud over wifi, consuming bandwidth and shortening battery life. Use our People Detection AI to record & stream only when people are in view, even on small, low-power cameras. plumerai.com/people-detecti…
We’re experts in building highly accurate AI which runs in real-time on low-power CPUs, such as Arm Cortex-M or Cortex-A.
Contact us today at [email protected]
Switching to our Inference Engine makes your models faster, uses less memory and reduces code size by half, all while maintaining model accuracy.
Sound too good to be true? Try it out for yourself today: plumerai.com/benchmark
Let us know what you think of it below!
“Plumerai again beat STMicro and OctoML scores, even getting faster latency than Silicon Labs’ M33 device with on-chip accelerator.” – @sallywf at @eetimes about our Arm Cortex-M inference engine software in the @MLCommons MLPerf Tiny benchmark. eetimes.com/nvidia-shows-o…
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