Consumer Electronics
Integration of speech recognition, natural language understanding, and computer vision into consumer devices — enabling voice control, object recognition, and on-device inference.
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Industry overview
Voice and vision AI integration for consumer electronics — embedding speech recognition, natural language command processing, wake word detection, and computer vision capabilities into devices for intelligent interaction without cloud dependency.
At a glance
Voice and vision AI capabilities are rapidly becoming table-stakes for consumer electronics — from smart speakers and displays to appliances, cameras, and wearables. But integrating these capabilities well requires expertise across DSP, edge ML, cloud fallback architecture, and the specific constraints of each device's compute budget and form factor. ArrayMatic handles the full integration from microphone array to user interaction.
We implement on-device speech recognition with custom wake word detection optimised for the target microphone array and acoustic environment. Natural language command processing handles the device-specific vocabulary and maps utterances to device actions. For vision tasks, we develop object classification, scene understanding, and gesture recognition models optimised for edge inference on the device's available compute. Cloud fallback architectures handle complex queries that exceed on-device capability while maintaining privacy for queries that can be handled locally.
Key capabilities
Engagements are scoped to your business context — these are the core capabilities we bring to consumer electronics clients.
Custom wake word detection optimised for device acoustic environment
On-device speech recognition and natural language command processing
Object classification and scene understanding for vision tasks
Edge inference optimisation for constrained device compute budgets
Cloud fallback architecture for complex queries requiring server-side processing
Privacy-preserving local processing for sensitive interaction data
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