editor's blog
Subscribe Now

Miniscule IR Subsystem

As part of their recent announcement of FPGAs for sensor management, Lattice also introduced a couple of new devices for their iCE40LP family. From a device standpoint, the key here is the package: a 16-ball chip-scale-package (CSP) measuring 1.4 mm by 1.48 mm, and only 0.45 mm thick.

While this is an extraordinarily small device, and it is a general purpose device (it could even do sensor management for a couple sensors), they have some specific ideas for it. They have teamed the devices up with some IP so that, together, they constitute an infrared subsystem.

This includes logic and electronics for driving the LED, sensing an IR remote, and doing bar code emulation.

The latter is a particularly interesting application for use when trying to display a barcode on a phone for a barcode reader to detect. The problem is that the phone glass will typically reflect the IR light from the reader, preventing it from figuring out the code.

Instead, the IR LED can transmit the equivalent code, which the reader will detect. It probably won’t even know that it didn’t get the code from where it thinks it got the code.

Confused by the concept of FPGAs in a cell phone? Well, we’ve got that covered in a separate article.

You can read more about this new device as well as the new iCE40LM devices in their release.

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