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Projects

Our work & shipped products.

We don't only build for clients; we also build, manufacture, and ship our own products. It keeps our engineering sharp and proves we can own the full journey from concept to market.

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Client Case Studies

Engineered for reality.

Selected device-engineering projects showing the real-world metrics behind each build.

Industrial precision sensing (client anonymized)

Sub-degree rotation from commodity IMUs

0.5-60 deg/s within ~10% error on a sub-$100 board.

Industrial precision sensing (client anonymized)

Sub-degree rotation from commodity IMUs

Case Study Breakdown

  • Challenge: Measure vertical rotational rate from 0.5 to 60 deg/s in a swinging, magnetically noisy environment (ruling out magnetometers), on a board costing under $100 to make. No single low-cost IMU can resolve this.
  • Approach: Fused three 6-DOF IMUs with custom mathematical models and filters, and dynamically cancel gyro bias drift over time to keep readings honest.
  • Result: Hit the full 0.5-60 deg/s range within ~10% error, held over time, on a sub-$100 board. This performance is usually tied to far costlier hardware.

Overview & Tech Stack

0.5-60 deg/s within ~10% error on a sub-$100 board.

Triple-IMU arrayKalman / Mahony filteringCustom bias trackingEmbedded C++
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Sports / fitness (client anonymized)

A velocity-based-training wearable beyond the benchmark

A high-accuracy VBT wearable beyond the category benchmark.

Sports / fitness (client anonymized)

A velocity-based-training wearable beyond the benchmark

Case Study Breakdown

  • Challenge: A tiny, power-efficient wearable to measure velocity and movement for strength training, targeting higher accuracy than the established category device.
  • Approach: nRF52 + 6-DOF IMU with sensor fusion and movement classification, modeled in MATLAB then optimized in C++, streaming to a BLE app.
  • Result: A high-accuracy VBT wearable developed over an ~18-month program on the nRF52 platform.

Overview & Tech Stack

A high-accuracy VBT wearable beyond the category benchmark.

nRF52BLE6-DOF IMU4-layer 15 x 25 mm boardMATLABC++
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Industrial machinery (client anonymized)

A machine controller accurate to ~5 microns

~5 um position accuracy with a cost-tiered, modular design.

Industrial machinery (client anonymized)

A machine controller accurate to ~5 microns

Case Study Breakdown

  • Challenge: Semi-automate a hydraulic press with precise position and pressure sensing, real-time display, and a manufacturable cost.
  • Approach: STM32F4 with a high-precision linear encoder and ADC front-end, split into a cost-tiered, modular two-board architecture (high-current controller + controlled-impedance data board).
  • Result: ~5 um position accuracy; a modular product so customers buy only the capability they need.

Overview & Tech Stack

~5 um position accuracy with a cost-tiered, modular design.

STM32F4Linear encoderHigh-precision ADCColor LCD2- and 4-layer PCBs
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STEM education (SRQ's own product, via QubeBots)

X-Fly: an award-winning programmable STEM drone

Gold & Bronze at the National ICT Awards 2023.

STEM education (SRQ's own product, via QubeBots)

X-Fly: an award-winning programmable STEM drone

Case Study Breakdown

  • Challenge: Build an affordable, programmable nano drone running flight control and wireless comms on a single low-cost MCU.
  • Approach: ESP32 with a Madgwick + Extended-Kalman-Filter fusion stack, six cascaded PID loops, a PCB-integrated airframe, and an external SDK.
  • Result: Won Gold (Education) and Bronze (Overall) at the National ICT Awards 2023, and it is the first drone platform designed end to end (PCB and firmware) in Sri Lanka.

Overview & Tech Stack

Gold & Bronze at the National ICT Awards 2023.

ESP326-DOF IMUToF and optical-flow sensorsEKFCascaded PIDSDK
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Equine performance (client anonymized)

Four-node gait analysis for racehorses

Synchronized four-leg motion capture over BLE.

Equine performance (client anonymized)

Four-node gait analysis for racehorses

Case Study Breakdown

  • Challenge: Capture synchronized motion from all four legs of a running racehorse for performance analysis.
  • Approach: A tiny nRF52 + 6-DOF IMU node on each leg, streaming over BLE, with Kalman filtering and careful battery optimization.
  • Result: Clean, synchronized multi-limb motion data; SRQ delivered the hardware and on-device algorithms.

Overview & Tech Stack

Synchronized four-leg motion capture over BLE.

nRF52BLE6-DOF IMUKalman filtering
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Wildlife / asset tracking (capability)

A 10 mm GPS tracker with 12 km range

GPS, radio, and MCU on a 10 mm board with a ~12 km range.

Wildlife / asset tracking (capability)

A 10 mm GPS tracker with 12 km range

Case Study Breakdown

  • Challenge: Fit GPS, a radio, and an MCU on a 10 mm square (breaking the chip vendors' space and ground-plane rules) with real range and multi-day battery.
  • Approach: Heavy RF and power-gating R&D; a short wire antenna; aggressive microampere power optimization.
  • Result: ~12 km ground-to-ground range; location transmitted 2-3 times a minute for ~30 hours on a 60 mAh cell.

Overview & Tech Stack

GPS, radio, and MCU on a 10 mm board with a ~12 km range.

GPSSub-GHz radioLow-power MCUCustom receiver
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Healthcare (client: Breath Technologies, USA)

A respiratory and chest-movement monitor

Breathing-waveform and chest-movement sensing.

Healthcare (client: Breath Technologies, USA)

A respiratory and chest-movement monitor

Case Study Breakdown

  • Challenge: A complex device to track breathing waveforms and chest movement.
  • Approach: Custom sensing plus signal processing and a companion experience, developed iteratively to hit the client's goal.
  • Result: Delivered on time and working.

Overview & Tech Stack

Breathing-waveform and chest-movement sensing.

Embedded sensingDSPMobile
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AgriTech (large-scale duck farm)

A wireless vitals monitor inside an egg

A vitals sensor that fits inside a duck egg.

AgriTech (large-scale duck farm)

A wireless vitals monitor inside an egg

Case Study Breakdown

  • Challenge: A circular board that fits inside a regular duck egg to monitor incubation vitals across a 12-acre farm, over direct RF (no Wi-Fi), with thousands of nodes that never collide, running 3+ months on a tiny internal battery, with all electronics, battery, and antenna enclosed inside the shell.
  • Approach: A micro circular PCB, a direct sub-GHz scheme with a collision-free multi-node protocol, and aggressive power optimization.
  • Result: A full system (PCB, firmware, algorithms) delivered end to end.

Overview & Tech Stack

A vitals sensor that fits inside a duck egg.

Micro circular PCBSub-GHz RFCollision-free protocolUltra-low-power firmware
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Audio / music (client anonymized)

A mass-manufacturable analog effects pedal

A production-ready, low-noise analog pedal.

Audio / music (client anonymized)

A mass-manufacturable analog effects pedal

Case Study Breakdown

  • Challenge: A stompbox-style analog guitar pedal designed for mass production, with low noise and true tone.
  • Approach: Custom low-noise analog PCB, impedance-matched audio paths, dedicated power-supply filtering, true-bypass switching, and engineered clipping stages.
  • Result: A production-ready analog pedal spanning warm overdrive to aggressive distortion.

Overview & Tech Stack

A production-ready, low-noise analog pedal.

Analog circuit designCustom PCB
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Our Shipped Products

Own-brand hardware and software.

Devices designed, programmed, and brought to market entirely by the SRQ team.

X-Fly · by QubeBots

An award-winning programmable STEM drone

Core Milestones & Stats

  • Gold (Education) and Bronze (Overall) at the National ICT Awards 2023.
  • First drone platform designed end to end (PCB & firmware) in Sri Lanka.
  • Hardware-expandable modular drone layout.

Overview

A programmable nano drone for STEM education, featuring a hardware-expandable modular design and multi-level development toolkits ranging from school children to advanced researchers.

Visit X-Fly websiteEngineering story

DanceBetter

AI coaching for dancers

Core Capabilities

  • Live (v2.0) with 2,000+ registered users, used mostly in the US.
  • Studio and coach tier optimized for teams.
  • Built entirely on advanced computer vision algorithms.

Overview

An AI coaching platform for dancers: upload a practice video and get instant, timestamped biomechanical feedback on technique. Showcases our team's capabilities in custom DSP and algorithmic software.

Visit dancebetter.org

Both are real, shipped products, proving that SRQ can own the full journey from concept to a live product, rather than just delivering to spec.

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