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At Adequate Infosoft, we develop intelligent wearable systems that combine embedded engineering, AI, and secure connectivity. This case study presents our work on an AI powered audio pendant built for real time voice interaction with strong privacy controls.
We handled the complete system including hardware integration, firmware development, audio processing, encryption, and cloud pipeline design. The result is a production ready prototype with local wake word detection, a 4 microphone beamforming system, an encrypted rolling buffer, and reliable end to end transcription.
Client: The client is a stealth mode, consumer-focused AI business producing a voice-enabled pendant with local artificial intelligence processing, secure MCU wearables and BLE connectivity.
Role: The team's role is the lead embedded systems developer (full stack by providing hardware integration, firmware, audio pipeline, security, and cloud back).
Outcome: The work effort is six months at full time equivalents. The team's output is a production-ready prototype (including a local wake word, a 4-mic beamforming system, encrypted audio buffers, and an end-to-end transcription pipeline).
This project involved developing a sophisticated voice-activated pendant from silicon to cloud.
The device captures high-quality audio from a 4-mic array, performs local wake word detection and command recognition using the Anker THUS AI chip, manages security and power with the Apollo510B, and handles BLE communication via the nRF54H20.
The pendant is provided with high-quality audio through a microphone array of four microphones for local/remote audio recording. The device utilizes an Anker THUS AI chip for detecting wake words and recognizing commands; this chip also manages security and power through Apollo510B. The device transmits data to a mobile application via nRF54H20 using BLE.
Through the use of an encrypted rolling buffer, all recorded audio is stored and is transmitted to an associated mobile application for Cloud Transcription Services.
The final version of the device is ready for mass production and provides users with the capability to retain their privacy (because it processes data locally), their security (because all data is encrypted during storage/transfer), and their ability for complex searches (using Cloud Transcription Services).
| Component | Role | Key Specifications |
|---|---|---|
| Anker THUS | Local audio AI processing | Wake word detection, command recognition, neural inference engine |
| Apollo510B | Secure wearable MCU | Arm Cortex-M55 @ 192MHz, 4MB NVM, 3.75MB RAM, secureSPOT 3.0, TrustZone |
| Nordic nRF54H20 | BLE connectivity | Dual Cortex-M33 @ 320MHz, 2MB flash, 1MB RAM, Bluetooth 5.4, -100dBm sensitivity |
The features and capabilities available on this combination of three devices represent the intelligently-designed architecture for the secure master-controller-based wearable function of a pendant.
The Apollo510B serves as the primary, secure master controller by providing the critical functions of power management, encryption and orchestration for the complete operated system.
The ultra-low power architecture of the Apollo510B processor (30X more efficient than the Cortex-M4) is also critical for a pendant to provide one full day of use on a single small battery.
The nRF54H20 provides the ability to perform wireless communication independently due to its dedicated 48MHz wireless coprocessor, allowing the Apollo510B processor to enter a safe sleep state (while continuing BLE advertising) to conserve power.
This type of dual-processor architecture is essential for low-power wearables. The THUS Audio System (from Anker) offloads all audio AI processing from the nRF54H20 and provides secure location of sensitive voice data (in addition, provides a reduction in overall power consumption due to not streaming raw audio continuously).
Alternative considered: Using the nRF54H20 alone for both audio and BLE. Rejected because the Apollo510B's secureSPOT 3.0 provides hardware-isolated security domains essential for handling encrypted personal data.
| Parameter | Specification |
|---|---|
| Microphone type | PDM digital MEMS (Knowles SPH0645LM4H or equivalent) |
| Array configuration | 4x omnidirectional, circular arrangement (90° spacing) |
| Sampling rate | 16 kHz (wake word), 48 kHz (command capture) |
| Beamforming | Fixed beamforming + Direction of Arrival (DOA) estimation |
The 4-mic array connects to the Apollo510B via its stereo digital microphone PDM interfaces. The Apollo510B supports up to 4 PDM channels simultaneously, making it ideal for this configuration.
(Pipeline diagram placeholder)
The Anker THUS chip is primarily a neural inference engine optimized for audio AI tasks. Configuration includes:
| Feature | Configuration |
|---|---|
| Wake word | Custom "Hey Pendant" (trained with 2,000+ samples) |
| Local commands | "Stop", "Save note", "Remind me", "What did I say?" (3-5 commands) |
| Model format | Quantized int8 TensorFlow Lite for Microcontrollers |
| Inference time | < 50 ms for wake word detection |
| Power consumption | ~5mW active, ~0.5mW listening (always-on) |
The Apollo510B Cortex-M55 contains Helium (vector processing), which allows it to perform lightweight keyword spotting for a secondary (fallback) keyword trigger should the THUS be busy or in low power mode.
The encrypted rolling buffer is a core privacy feature. Audio is never stored in plaintext — even on the device.
| Parameter | Value |
|---|---|
| Buffer duration | 30 seconds (rolling) |
| Encryption | AES-256-GCM (Galois/Counter Mode for authenticity) |
| Key storage | Apollo510B secureSPOT 3.0 hardware secure element |
| Key derivation | ECDH P-256 (paired with phone during setup) |
| Zeroization | On device power loss or phone disconnect |
The Apollo510B's secureSPOT 3.0 provides:
Security benefit: If device is lost or stolen, audio cannot be recovered without the phone's private key (which never leaves the paired phone).
(Key exchange diagram placeholder)
The nRF54H20 connects to the Apollo510B via SPI (high-speed, up to 32 MHz).
| Interface | Purpose |
|---|---|
| SPI (master/slave) | Audio data transfer (encrypted chunks) |
| UART | Command/control, status updates |
| Interrupt (GPIO) | Wake notification from nRF54H20 |
| Service | UUID | Characteristics |
|---|---|---|
| Audio Stream | 0000FFE0-0000-1000-8000-00805F9B34FB | Encrypted audio chunks, sequence number, ACK |
| Command | 0000FFE1-0000-1000-8000-00805F9B34FB | Wake word status, battery level, errors |
| Configuration | 0000FFE2-0000-1000-8000-00805F9B34FB | Cloud API keys, wake word sensitivity |
Pendant → BLE → Phone App → (optional) Cloud API → Transcription
Phone → HTTPS/TLS → Cloud API → Transcription → Text returned to phone → Notification
The phone app handles all cloud interactions, not the pendant. This keeps the pendant off the internet entirely (privacy/compliance benefit).
| Condition | Action |
|---|---|
| Command recognized locally | Execute immediately, no cloud round trip |
| Unrecognized command | Send audio to cloud for full transcription |
| No cell/Wi-Fi (but BLE connected) | Store encrypted audio on phone for later upload |
| Sensitive query (user configurable) | Never leave device — local processing only |
| State | Active Components | Power | Duration |
|---|---|---|---|
| Deep sleep | Apollo510B (RTC only), nRF54H20 (advertising) | ~5 µA | Most of day |
| Listening | Apollo510B PDM + THUS (wake word detection) | ~3 mA | Always-on |
| Recording | Apollo510B + THUS + nRF54H20 (Tx) | ~25 mA | < 30 seconds per command |
| BLE streaming | nRF54H20 (Tx) + Apollo510B (encryption) | ~15 mA | During transfer |
250 mAh Li-Polymer powered (small-sized pendant)
Battery Approximate runtime: approximately one day (full day equals approximately 12+ hours usage with typical usage of 50 commands/day)
TurboSPOT technology supports "always-on" listening with Apollo510B.
Symptom: Each device has its independent audio capture path which causes them to lose their synchronization by a few samples over time.
Resolution: The PDM clock used by the Apollo510B is also used by the THUS (master clock of 12.288 MHz, divided down to generate 16kHz). An interrupt generated by the THUS on frame sync is used by the Apollo510B's rolling index of the buffer to keep the rolling indexes aligned to one another.
Symptom: AES-256 encryption of each audio chunk introduced approximately 8 ms of latency per each audio chunk (256 bytes), which caused buffer overruns.
Resolution: The Apollo510B's hardware crypto engine (secureSPOT 3.0) can process an AES-256 encryption in less than 100 µs for each audio chunk. When switching AES from a software implementation to a hardware implementation, the encryption overhead was reduced by approximately 98%.
Symptom: Due to the authentication tag (16 bytes) used by the AES-256 encryption of each audio chunk (256 bytes), that exceeds the BLE maximum transmission unit (MTU)(maximum of 256 bytes) causing audio chunks to be fragmented and sent over multiple packets.
Resolution: The BLE MTU was increased from 256 bytes to 512 bytes (this is supported by the Bluetooth 5.2 specification and nRF54H20 device). Therefore, each audio chunk fits into a single packet, reducing the overhead associated with multiple packets by ~40%.
| Test Category | Scope | Result |
|---|---|---|
| Wake word accuracy | 10,000 test utterances, 20 speakers | 98.7% detection, 0.5% false positives/hour |
| Battery life | Continuous listening + 50 commands/day | 14 hours (exceeds 12-hour requirement) |
| BLE range | Body-worn, phone in pocket | 99.9% packet success (no drops) |
| Encryption validation | NIST test vectors | Pass (all encryption modes) |
| Rolling buffer integrity | Power cycle during recording | No audio loss, successful recovery |
| Cloud transcription latency | Typical command | 1.2 seconds (4G), 0.8 seconds (Wi-Fi) |
| Component | Deliverable |
|---|---|
| Hardware | Fully assembled pendant prototype (10 units) |
| Firmware | Apollo510B codebase (C, Ambiq SDK), nRF54H20 codebase (Zephyr RTOS) |
| ML models | Anker THUS wake word + command model files |
| Phone SDK | iOS (Swift) and Android (Kotlin) BLE audio streaming libraries |
| Cloud backend | Reference implementation (Node.js + OpenAI Whisper) |
| Documentation | Full design files (schematics, PCB layout, BOM), API documentation, test reports |
The "dream version" audio pendant was successfully delivered as a fully functional production prototype. This prototype allows for:
This has validated that the component triad of (Anker THUS + Apollo510B + nRF54H20 + 4-mic array) is not only a theoretical "dream" but also a practical and buildable system with established leading levels of security, power efficiency and audio quality.
Additionally, the AES-256 encrypted rolling buffer has also addressed the most significant consumer privacy issue with respect to always listening devices and, overall, the local-first architecture helps to minimize reliance on the cloud whilst preserving advanced features and benefits.
Client satisfaction is our ultimate goal. Here are some kind words of our precious clients they have used to express their satisfaction with our service.
I came across Adequate Infosoft while searching for an IT company to design a virtual platform for my Telemedicine business. AI helped me to make my dream project a reality.
Frederick Hess
The price and professionalism of Adequate Infosoft's project team are the most appealing aspects of working with them. The team provides weekly progress reports and responds quickly to the concerns I have.
Kim Jespersen
My team is very satisfied with the professionalism shown by the Adequate Infosoft team during the project. We are looking forward to working with them again.
Óli Freysson
I contacted AI for an Android and iOS application and I am completely satisfied with their service.
Thomas Cheah
I am very satisfied with Adequate Infosoft. very helpful, positive, and quick communication so far. I am looking forward to further cooperation.
Great experience hiring them, understood the requirements very well, and were very effective and efficient in delivering the project. I will hire them for my next project as well and also recommend them to others.
Adequate Infosoft lead development team is efficient and provides the best IT solutions. If you're looking for quick and affordable software development, Adequate Infosoft is your go-to guru!
Adequate Infosoft has stood out to be the best company for providing IT services at affordable prices. Their rapid development approach works in line with our iterative process.
David Kattah
We have worked with Adequate Infosoft for 4 years and it has been a positive experience for me and my company.
Frank Eson
Adequate Infosoft has set a benchmark with its robust product development services. Their development team is highly professional that understands the value of time.
Exceptional service! The AI team guided me through the entire procedure and made it an enjoyable experience.
Kim Jespersen
As a small business, we were most attracted to Adequate Infosoft's competitive pricing and the ability to quickly scale up or down the number of developers supporting the application.
Mr. Aaron
It was a pleasure to collaborate with Adequate Infosoft. Their development team is comprised of true experts.
Adequate Infosoft helped us get the most from Ceraphi, with smooth setup, responsive support, and practical, effective solutions.
Adequate Infosoft helped us develop our smart lock solution, including both the mobile app and web app
The Adequate Infosoft team helped us deliver a custom IoT solution for our European customers very efficiently
Smart Controls
Adequate Infosoft did a great job, helping us implement energy-efficient solutions smoothly.
Australia Health Pty Ltd
The team understood our needs and delivered quality health tech solutions on time.
Adequate Infosoft felt like a true partner, very supportive team, clear communication, on-time delivery, and quality work we genuinely trust.
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