Loog
Guitars
AR Music Learning Feature for Loog Guitars: Turning a Selfie Camera into a Guitar Teacher
Rafael Atijas
Founder & CEO, Loog Guitars
Loog Guitars builds guitars designed to make music easier to learn, especially for children. Alongside the physical product, the company was developing a teaching app and wanted to create something much more ambitious than a standard tuner or lesson interface: an AR experience that could look at a real guitar through the selfie camera and guide finger placement in real time.
The challenge was not just technical novelty. It was product usefulness. If the feature wasn't accurate enough to detect the fingerboard and place chord markers convincingly, it would feel like a gimmick. OrangeLoops partnered with Loog to turn that idea into a real learning feature across mobile platforms.
Build a guitar-learning AR feature with no obvious playbook
Loog wanted kids to be able to stand in front of their selfie cameras with their guitars and instantly see visual guidance showing where to place their fingers. Conceptually, it sounds like a live filter. In practice, it required the app to detect the guitar's fingerboard in the camera feed and overlay accurate, stable chord markers in a way that felt usable for real learning.
This was exploratory for both sides. Rafael Atijas had the product idea and OrangeLoops had relevant AR exposure, but neither team had built this exact interaction before. The success threshold was clear: if the feature was slow or inaccurate, it would not help children learn how to play.
The original performance target was modest by necessity: one accurate frame per second. That gave the project a realistic starting point while leaving room to push further if the implementation proved technically promising.
Computer vision plus AR, designed around actual guitar instruction
OrangeLoops developed an AR feature for Loog's iOS and Android learning app that uses the device's selfie camera to detect the guitar neck and overlay dots showing the correct finger positions for each chord. The team approached it as both a technical and product problem: the visual overlay had to be accurate enough to teach, fast enough to feel responsive, and intuitive enough for children to use without friction.
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Selfie-camera AR interaction
Children can hold their guitars in front of the front-facing camera and receive live visual guidance without extra hardware.
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Fingerboard detection
Computer vision identifies the guitar neck inside the camera feed so the app can anchor the AR experience to a real instrument.
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Chord-position overlays
AR dots appear directly on the instrument to show where fingers should go, turning an abstract lesson into immediate physical guidance.
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Performance beyond the original target
The initial benchmark was one accurate frame per second, but the team identified room to exceed it and improved the iOS experience beyond scope.
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Product-aware execution
OrangeLoops pushed not just for a technically working demo, but for a feature with real educational and commercial value inside Loog's product strategy.
The hard part was making a novel AR idea accurate enough to matter
The most important details in Rafael Atijas's review are not the buzzwords. They are the thresholds: the team set a measurable performance target, hit it, then decided the opportunity justified going beyond the original brief.
Detecting a real guitar neck reliably in a live front-camera feed
This was not a standard AR sticker effect. The app had to recognize the fingerboard of a physical guitar and place guidance markers where a child's fingers actually needed to go. That meant computer vision accuracy was inseparable from educational usefulness.
Pushing beyond the original accuracy goal because the product deserved it
Loog initially scoped the feature around a target of one frame per second. Once OrangeLoops saw the implementation could go further, the team worked overtime to improve the iOS experience without turning the project into a change-order negotiation. That decision materially improved the final product.
A technically novel feature that shipped with real product value
The AR feature went live as part of Loog's music learning experience and received very positive feedback from users. More importantly, it surpassed the original accuracy expectations on iOS and gave Loog a feature that strengthened both the teaching experience and the product's differentiation in the market.
Above target accuracy
The iOS experience exceeded the original goal. The first benchmark was one frame per second, and the delivered result went beyond that initial expectation.
Positive user response
The feature resonated with Loog's audience. Rafael reported very positive reviews once the AR capability shipped.
Business leverage
Not just technical delivery. Loog highlighted OrangeLoops' ability to connect the product they were building with its commercial implications and opportunities, not just its implementation details.
"What made them such a strong partner was their mix of technical and business savvy."
"The app's capabilities went well beyond our expectations, too. We were aiming for an accuracy of one frame per second and achieved even better on our iOS version."
"When they realized that things looked promising enough to surpass it, they decided to go for it. The end product was so much better because of it."
"Be open to their suggestions because they have a lot to bring to the table. You might hire them for one thing and then realize that their ideas will give you a better end product."
Rafael Atijas
Founder & CEO, Loog Guitars
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