editor's blog
Subscribe Now

Sensors for the 1%

A frequent topic at events like the Interactive Technology Summit (ITS) is the increasing presence of sensors in phones and other gadgets. But it’s reasonable to ask how many of those sensors will be needed by the majority of people. It’s kind of an 80/20 thing, and the obvious follow-on question is, what to do about the 80% of sensors that 80% of the people don’t need?

One company presenting at the ITS was Variable; they introduced their Node+ sensor platform, which implicitly contains one answer to this partitioning question. They see phones as taking on the following sensors:

  • Accelerometer
  • Gyroscope
  • Magnetometer
  • Ambient Light
  • Proximity
  • Fingerprint
  • Microphone
  • Camera
  • Humidity
  • Barometer
  • GPS

And, far from being an 80/20 thing, they see these as satisfying 99% of phone users. But there are still “professionals” that will need sensors beyond these, many being very specialized. Rather than burdening the entire phone with them, they would be external, leveraging the phone as a platform for apps that communicate with the external sensors. They listed the following as opportunities for such sensors (with my parenthetical comments):

  • Vibration (phones might theoretically be able to do this, but the sensor ranges and quality may not be sufficient)
  • Motion tracking (actually, this is already being done in phones, to some degree…)
  • Temperature (although there’s probably a good chance many could use this…)
  • Force
  • Color
  • Gases
  • Radiation
  • Medical
  • Noise
  • Air flow
  • Distance

They’ve done yet another partition by separating out what they call the platform from the sensors themselves. The sensor contains the transducer and analog front-end (AFE). The cleaned-up analog signals are delivered to the platform, which, in conjunction with the phone (attached via BlueTooth) handles analog-to-digital conversion, local processing via firmware on a microcontroller, and an application layer (and possible connection to the cloud). The platform (below), a small cylinder, can accommodate two sensors – one at each end.

(I was hoping to include pictures, but I received no response to my request for permission to use their images.)

The sensors themselves are sold separately (with the exception of a 9-axis motion sensor within the platform). Currently-available modules include (shown in order below), a “luma” module for lighting a scene (seems more of an accessory than a sensor), a remote “therma” thermometer, a weather/environment “clima” sensor, a color-matching “chroma” sensor, and an “oxa” gas detector capable of sensing CO, NO, NO2, Cl2, SO2, and H2S.

Of course, this kind of partitioning may involve more than a technical breakdown of the 99/1 rule. Other critical factors would likely include simple business model considerations (higher revenue by selling attachments) and control: they don’t control what goes into the phone. If phone makers decide that there is value to some of these (like, for instance, the weather sensor) for the 99%, and if they think they can differentiate their phones with them, then a separate module will look less attractive.

So this partitioning is likely to shift with the vagaries of the market.

You can find more at Variable’s website.

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

Outgassing: The Hidden Danger in Harsh Environments
In this episode of Chalk Talk, Amelia Dalton and Scott Miller from Cinch Connectivity chat about the what, where, and how of outgassing in space applications. They explore a variety of issues that can be caused by outgassing in these applications and how you can mitigate outgassing in space applications with Cinch Connectivity interconnect solutions. 
May 7, 2024
39,294 views