editor's blog
Subscribe Now

QuickLogic’s Next Sensor Hub Rev

We’ve spent a bit of energy in the past looking at QuickLogic’s approach to a low-power sensor hub. Well, they’ve just introduced a second round, and the obvious question is… what’s changed?

They list some of the current capabilities, but the obvious questions are, how does this compare to the first one, and how did they make this happen?

Fundamentally, this hub has more horsepower than their first one. So they can do more work. They had a basic pedometer in their first hub; with this one, they have an “enhanced” pedometer that can now discriminate between walking, jogging, and running, while counting individual steps.

As it turns out, however, most of the capabilities on their second go-round weren’t possible on the first one. They noted features like IrDA remotes, barcode transmission, and pulse-width modulation (PWM) for dimming displays – none of these could be done by the first hub.

So how did they do this? Two things. First, they looked through some of the critical functions to see which things weren’t likely to change anytime soon (or ever); they hardened those into dedicated gates. That sped things up and lowered power.

But they also made some process changes. They didn’t go into the details of what changed, but the goal was yet lower power. After all, adding more capability usually has a power cost, which they have to fight since power is such an important part of their message. As it is, they’re claiming as low as 150 µW – even as they’ve added programmable logic and processor capacity, algorithm memory, and data buffer memory.

S2-Sensor-Hub-Block-Diagram_300.jpg

Image courtesy QuickLogic

You can find out more in their announcement.

Leave a Reply

featured blogs
Nov 22, 2024
We're providing every session and keynote from Works With 2024 on-demand. It's the only place wireless IoT developers can access hands-on training for free....
Nov 22, 2024
I just saw a video on YouTube'”it's a few very funny minutes from a show by an engineer who transitioned into being a comedian...

featured video

Introducing FPGAi – Innovations Unlocked by AI-enabled FPGAs

Sponsored by Intel

Altera Innovators Day presentation by Ilya Ganusov showing the advantages of FPGAs for implementing AI-based Systems. See additional videos on AI and other Altera Innovators Day in Altera’s YouTube channel playlists.

Learn more about FPGAs for Artificial Intelligence here

featured paper

Quantized Neural Networks for FPGA Inference

Sponsored by Intel

Implementing a low precision network in FPGA hardware for efficient inferencing provides numerous advantages when it comes to meeting demanding specifications. The increased flexibility allows optimization of throughput, overall power consumption, resource usage, device size, TOPs/watt, and deterministic latency. These are important benefits where scaling and efficiency are inherent requirements of the application.

Click to read more

featured chalk talk

From Sensor to Cloud:A Digi/SparkFun Solution
In this episode of Chalk Talk, Amelia Dalton, Mark Grierson from Digi, and Rob Reynolds from SparkFun Electronics explore how Digi and SparkFun electronics are working together to make cellular connected IoT design easier than ever before. They investigate the benefits that the Digi Remote Manager® brings to IoT design, the details of the SparkFun Digi XBee Development Kit, and how you can get started using a SparkFun Board for XBee for your next design.
May 21, 2024
37,643 views