editor's blog
Subscribe Now

Finding iNEMO

Back when we looked at sensor hubs last year, the trajectory of that discussion took us to the point of sensors integrated with a microcontroller on a single chip. ST Microelectronics had announced the technology used for that example. At the time, their announcement focus was on Windows 8 HID compatibility, and there was a lot of generic discussion about the promise of the technology, but I have to confess to having not noticed much of the way of specific product information (and I didn’t dig, since those specifics weren’t my main focus).

Well, I later found out why: no product was included in the technology announcement – then. One subsequently has: the iNEMO-A. This device combines a 3-axis accelerometer with an ultra-low-power ARM Cortex M0 processor. Connections are available for external gyroscopes, magnetometers, and pressure sensors as well.

This is the first of a family of devices that will be marketed under the iNEMO name. Various permutations and combinations of integrated sensors for different applications are apparently on their way, although presumably the connections available to external sensors maintain the potential for Windows 8 HID compliance.

You can get more info on their first device in their release.

Leave a Reply

featured blogs
Nov 15, 2024
Explore the benefits of Delta DFU (device firmware update), its impact on firmware update efficiency, and results from real ota updates in IoT devices....
Nov 13, 2024
Implementing the classic 'hand coming out of bowl' when you can see there's no one under the table is very tempting'¦...

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

Ultra-low Power Fuel Gauging for Rechargeable Embedded Devices
Fuel gauging is a critical component of today’s rechargeable embedded devices. In this episode of Chalk Talk, Amelia Dalton and Robin Saltnes of Nordic Semiconductor explore the variety of benefits that Nordic Semiconductor’s nPM1300 PMIC brings to rechargeable embedded devices, the details of the fuel gauge system at the heart of this solution, and the five easy steps that you can take to implement this solution into your next embedded design.
May 8, 2024
39,098 views