SOL—02Solutions / 02

Consumer
Electronics.

From sensing and interaction to on-device AI capability embedding, consumer electronics is one of the most natural product categories for comprehensive AI enhancement. We don't bolt intelligence onto existing hardware — we rethink the product experience from the sensor layer up, making AI the core differentiator rather than a marketing checkbox.

Core value

Multimodal perception as native capability · Interaction that anticipates rather than waits · Edge-first AI that respects privacy and latency · Software-hardware co-design from day one

IndustrySmart home · Wearables · IoT devices
ScopeSensing → Interaction → Edge AI → Prototype
ApproachHardware-aware AI design + multimodal integration
OutcomeProducts that perceive, adapt, and respond in real time
The best AI hardware doesn't feel like AI at all — it just feels like the product finally works the way you always expected it to.
Typical Pain Points

Why most "smart" products don't feel smart.

01

AI is an afterthought, not a design driver

The hardware is finalized first, then someone asks "can we add AI?" — resulting in bolted-on features that feel disconnected from the core experience. Intelligence should shape the product architecture from day one, not be retrofitted.

02

Interaction is still command-and-respond

Users must explicitly trigger every function — tap a button, say a wake word, navigate a menu. The product waits passively instead of sensing context and acting proactively. The gap between "voice assistant" and "intelligent companion" remains enormous.

03

Edge constraints kill the AI experience

Cloud-dependent AI means latency, privacy concerns, and offline failure. But on-device models are limited by compute, memory, and power budgets. Without careful optimization, the AI either feels sluggish or drains the battery in hours.

04

No path from prototype to production

Demo-quality AI that works on a dev board rarely survives the transition to mass production. Model size, power consumption, sensor calibration, and firmware integration create a gap that many teams underestimate until it's too late.

What We Deliver

Four capability layers for truly intelligent hardware.

01

Multimodal Perception (Image / Sound / Motion)

What We Deliver
  • Camera, microphone, and motion sensor data collection pipeline & annotation
  • Multimodal signal cleaning, feature extraction, and event detection
  • On-device or cloud recognition model deployment
  • Edge-case robustness engineering and abnormal condition handling
  • Sensor fusion strategy across multiple input modalities
Expected Results
  • Input recognition accuracy reaches 85–95%
  • Function stability improved 2–5×
  • Lightweight models deployable on low-power MCU/NPU
  • Hardware's contextual awareness fundamentally upgraded
02

Smart Interaction Design (Voice / Touch / Automation)

What We Deliver
  • Voice intent recognition, dialogue flow design, multi-turn conversation
  • Automation executor strategies (lighting, volume, rhythm, etc.)
  • Cross-modal interaction orchestration (touch + voice + sensor)
  • Emotion recognition and user preference modeling
  • Context-aware proactive interaction triggers
Expected Results
  • Interaction efficiency improved 40–70%
  • User experience shifts from reactive to proactive
  • Consistent experience across multiple usage scenarios
  • Personalization and habit learning significantly enhanced
03

Edge AI Model & System Integration

What We Deliver
  • Edge inference optimization (quantization, pruning, hardware acceleration)
  • Algorithm deployment on MCU / DSP / NPU platforms
  • Local privacy-preserving strategies for home and personal scenarios
  • System-level integration with Bluetooth / Wi-Fi / companion App
  • Edge-cloud collaboration architecture when hybrid mode is needed
Expected Results
  • Inference latency reduced 50–80% vs. cloud-only
  • Battery life extended through power-aware AI scheduling
  • Privacy-sensitive data never leaves the device
  • Reliable offline operation for core functions
04

Software-Hardware Co-Design Prototype (0→1)

What We Deliver
  • Rapid PoC validation — core function proof in weeks, not months
  • High-fidelity interactive prototype including UI/UX
  • Single-function demo → multi-function integrated prototype
  • Production-transferable architecture (BOM-aware, firmware-ready)
  • Technical documentation for handoff to manufacturing partner
Expected Results
  • Idea to demonstrable product in 4–8 weeks
  • Stakeholders validate direction early, reducing costly pivots
  • Clear engineering input for next-stage mass production evaluation
  • Risk identified and mitigated before tooling investment
Featured Case Studies

From concept to intelligent product.

We don't add AI to products. We design products where AI is the product.

INFIST Solutions Principle

Ready to build your next intelligent hardware product?

Bring us the sensor, the scenario, and the constraint. We'll design the intelligence.

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