EYE on NPI – XPLR-AOA Direction Finding and Indoor Positioning Explorer Kit episode artwork

EPISODE · Aug 19, 2021 · 10 MIN

EYE on NPI – XPLR-AOA Direction Finding and Indoor Positioning Explorer Kit

from Adafruit Industries · host Adafruit Industries

This week's EYE ON NPI is moving in the right direction - it's U-Blox's XPLR-AOA Direction Finding and Indoor Positioning Explorer Kit! This NPI tries to solve a well-trod but still not-fully-solved technical challenge of how to perform 3D tracking of low cost/low power 'tags' indoors. Ironically, object tracking is something that humans and animals do very well - we can even track things that have hidden themselves from view! But for robotics, this is an incredibly hard problem. Let's talk about some of the ways that we can do object tracking now, to explain why something that sounds so simple has been a challenge for decades. The way robotics do object tracking now is how the most simplistic organic vision systems work: by looking for a contrasting color or shape. This works best if something is vividly colored - like an Aibo robotic dog tracking a round pink ball (https://commons.wikimedia.org/wiki/File:AIBO_ERS-7_following_pink_ball_held_by_child.jpg#filelinks). Works great if the thing you're trying to track happens to be round and pink, which is not many things on this planet. Also, doesn't work particularly well if the shape is hidden or obscured. The next step up from basic shape tracking is machine learning vision systems that try to recognize objects by using layers of matrix calculations - what we would normally call OpenCV (https://en.wikipedia.org/wiki/OpenCV) or TensorFlow (https://en.wikipedia.org/wiki/Object_detection#/media/File:Detected-with-YOLO--Schreibtisch-mit-Objekten.jpg). This is a little more flexible, but still requires good lighting, unobscured vision, and recognizable shapes. If you don't want to use a camera, and you happen to be outside, you can use GNSS/GPS. A board with a GPS module and a radio transceiver can pretty easily determine location and then relay it back to a central station. GNSS gives you up to 10 meters This is great for cars, people, boats - all sorts of large objects. But that 10 meter precisions makes it tough for smaller items and of course, GNSS does not work indoors. (If you do want better precision, you can get it using RTK - check out our EYE ON NPI from last year https://blog.adafruit.com/2020/06/08/eye-on-npi-u-blox-c099-f9p-application-board-for-zed-f9p-gnss-rtk-module-eyeonnpi-adafruit-digikey-digikey-ublox/) Traditionally, when working indoors to do tracking, folks have relied on a few different technologies. In particular RSSI tracking is quite popular because its so cheap. Basically, radio signal strength falls geometrically with distance from antenna to antenna. Folks can also use time-of-flight technology, which has slowly been making it to WiFi modules (and may also make it into BTLE at some point - we'll do EYE ON NPI on that technology when it filters into the market!) As of Bluetooth 5.1, there's a new Direction Finding capability built into the wireless specification. Bluetooth direction finding makes it possible to determine the direction that radio signals travel from a mobile tag to one or several fixed anchor points. Using angle-of-arrival (AoA) technology, anchor points comprising an antenna array that is connected to a Bluetooth receiver can detect the direction, or angle, to the mobile tag, which transmits a Bluetooth signal. When a constellation of such multi-antenna anchors is deployed, AoA technology can be used to triangulate the precise location of a mobile device or tag. (https://www.u-blox.com/en/press-releases/u-blox-presents-bluetooth-aoa-explorer-kits-high-precision-indoor-positioning) Note that this is not distance measurements, it's angular measurements. But, of course - if you have a few fixed antenna station locations its easy to convert a set of angles into a precise location! The angle calculations seem to give better accuracy than plain RSSI - 1 to 2 meters - and can be used for more than just location sensing. For example, in this demo from U-Blox, a camera can follow a tag just with angular data since we don't care how far away the target is, just that it is in frame (https://www.u-blox.com/en/blogs/tech/how-we-built-our-bluetooth-direction-finding-demo) Direction Finding is included in any U-Blox/Nordic module that supports BLE 5.1, but to make it easy we recommend picking up a XPLR-AOA Direction Finding and Indoor Positioning Explorer Kit (https://www.digikey.com/short/q3dpn32p) that has the antenna configuration needed and laid out. It's a lot easier and faster than routing your own boards - the 'tags' are any BLE module and do not need special design considerations. Lucky for us, the U-Blox XPLR-AOA Direction Finding and Indoor Positioning Explorer Kit (https://www.digikey.com/short/q3dpn32p) is in stock at Digi-Key right now, and is an excellent way to get started immediately with trying out the new technology. If you want a more advanced setup, with 4 fixed-point-nodes and 4 tags, sign up for the XLPR-AOA-2 kit (https://www.digikey.com/en/products/detail/u-blox/XPLR-AOA-2/14666759).

This week's EYE ON NPI is moving in the right direction - it's U-Blox's XPLR-AOA Direction Finding and Indoor Positioning Explorer Kit! This NPI tries to solve a well-trod but still not-fully-solved technical challenge of how to perform 3D tracking of low cost/low power 'tags' indoors. Ironically, object tracking is something that humans and animals do very well - we can even track things that have hidden themselves from view! But for robotics, this is an incredibly hard problem. Let's talk about some of the ways that we can do object tracking now, to explain why something that sounds so simple has been a challenge for decades. The way robotics do object tracking now is how the most simplistic organic vision systems work: by looking for a contrasting color or shape. This works best if something is vividly colored - like an Aibo robotic dog tracking a round pink ball (https://commons.wikimedia.org/wiki/File:AIBO_ERS-7_following_pink_ball_held_by_child.jpg#filelinks). Works great if the thing you're trying to track happens to be round and pink, which is not many things on this planet. Also, doesn't work particularly well if the shape is hidden or obscured. The next step up from basic shape tracking is machine learning vision systems that try to recognize objects by using layers of matrix calculations - what we would normally call OpenCV (https://en.wikipedia.org/wiki/OpenCV) or TensorFlow (https://en.wikipedia.org/wiki/Object_detection#/media/File:Detected-with-YOLO--Schreibtisch-mit-Objekten.jpg). This is a little more flexible, but still requires good lighting, unobscured vision, and recognizable shapes. If you don't want to use a camera, and you happen to be outside, you can use GNSS/GPS. A board with a GPS module and a radio transceiver can pretty easily determine location and then relay it back to a central station. GNSS gives you up to 10 meters This is great for cars, people, boats - all sorts of large objects. But that 10 meter precisions makes it tough for smaller items and of course, GNSS does not work indoors. (If you do want better precision, you can get it using RTK - check out our EYE ON NPI from last year https://blog.adafruit.com/2020/06/08/eye-on-npi-u-blox-c099-f9p-application-board-for-zed-f9p-gnss-rtk-module-eyeonnpi-adafruit-digikey-digikey-ublox/) Traditionally, when working indoors to do tracking, folks have relied on a few different technologies. In particular RSSI tracking is quite popular because its so cheap. Basically, radio signal strength falls geometrically with distance from antenna to antenna. Folks can also use time-of-flight technology, which has slowly been making it to WiFi modules (and may also make it into BTLE at some point - we'll do EYE ON NPI on that technology when it filters into the market!) As of Bluetooth 5.1, there's a new Direction Finding capability built into the wireless specification. Bluetooth direction finding makes it possible to determine the direction that radio signals travel from a mobile tag to one or several fixed anchor points. Using angle-of-arrival (AoA) technology, anchor points comprising an antenna array that is connected to a Bluetooth receiver can detect the direction, or angle, to the mobile tag, which transmits a Bluetooth signal. When a constellation of such multi-antenna anchors is deployed, AoA technology can be used to triangulate the precise location of a mobile device or tag. (https://www.u-blox.com/en/press-releases/u-blox-presents-bluetooth-aoa-explorer-kits-high-precision-indoor-positioning) Note that this is not distance measurements, it's angular measurements. But, of course - if you have a few fixed antenna station locations its easy to convert a set of angles into a precise location! The angle calculations seem to give better accuracy than plain RSSI - 1 to 2 meters - and can be used for more than just location sensing. For example, in this demo from U-Blox, a camera can follow a tag just with angular data since we don't care how far away the target is, just that it is in frame (https://www.u-blox.com/en/blogs/tech/how-we-built-our-bluetooth-direction-finding-demo) Direction Finding is included in any U-Blox/Nordic module that supports BLE 5.1, but to make it easy we recommend picking up a XPLR-AOA Direction Finding and Indoor Positioning Explorer Kit (https://www.digikey.com/short/q3dpn32p) that has the antenna configuration needed and laid out. It's a lot easier and faster than routing your own boards - the 'tags' are any BLE module and do not need special design considerations. Lucky for us, the U-Blox XPLR-AOA Direction Finding and Indoor Positioning Explorer Kit (https://www.digikey.com/short/q3dpn32p) is in stock at Digi-Key right now, and is an excellent way to get started immediately with trying out the new technology. If you want a more advanced setup, with 4 fixed-point-nodes and 4 tags, sign up for the XLPR-AOA-2 kit (https://www.digikey.com/en/products/detail/u-blox/XPLR-AOA-2/14666759).

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EYE on NPI – XPLR-AOA Direction Finding and Indoor Positioning Explorer Kit

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API Intersection Stoplight Building a successful API requires more than just coding. It starts with collaborative design, focuses on creating a great developer experience, and ends with getting your company on board, maintaining consistency, and maximizing your API’s profitability.In the API Intersection, you’ll learn from experienced API practitioners who transformed their organizations, and get tangible advice to build quality APIs with collaborative API-first design.Jason Harmon brings over a decade of industry-recognized REST API experience to discuss topics around API design, governance, identity/auth versioning, and more.They’ll answer listener questions, and discuss best practices on API design (definition, modeling, grammar), Governance (multi-team design, reviewing new API’s), Platform Transformation (culture, internal education, versioning) and more.They’ll also chat with experienced API practitioners from a wide array of industries to draw out practical takeaways and insights you can use.H TV Podcast Industries Chris Jones, Derek O'Neill and John Harrison. TV Podcast Industries TV Podcast Industries is a podcast that provides discussions and reviews of various TV shows, including recent popular series like Alien Earth, The Sandman, The Last of Us, The Boys, and Daredevil Born Again. They also cover shows such as Ironheart, Star Trek: Picard, The Rings of Power, and many more, spanning both Marvel and DC universes, as well as other genres. Heart to Heart Podcast One on One / Next Level Studios In the Heart to Heart Podcast, we talk to some of our favorite & most interesting people in the entertainment industry so you can feel empowered and learn that even in the most challenging of industries, where there’s a will there’s a way.Whether you’re an actor, a writer, a casting director, a talent rep, or just someone interested in the behind the scene happenings of the entertainment industry, this podcast will have something for you. NOW, this isn’t just another How To podcast for actors. Plenty of those shows already exist. In Heart to Heart, every guest will share stories inspired by their sometimes winding path to success on their own terms. Revisionist History Pushkin Industries Revisionist History is Malcolm Gladwell's journey through the overlooked and the misunderstood. Every episode re-examines something from the past—an event, a person, an idea, even a song—and asks whether we got it right the first time. From Pushkin Industries. Because sometimes the past deserves a second chance.To get early access to ad-free episodes and extra content, subscribe to Pushkin+ in Apple Podcasts or at pushkin.fm/plus.iHeartMedia is the exclusive podcast partner of Pushkin Industries.

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This week's EYE ON NPI is moving in the right direction - it's U-Blox's XPLR-AOA Direction Finding and Indoor Positioning Explorer Kit! This NPI tries to solve a well-trod but still not-fully-solved technical challenge of how to perform 3D tracking...

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