What you'll learn:
- The demand for advanced efficient solutions for edge AI applications.
- How the AONix sensor mdule can address these needs.
Demand for battery-powered, intelligent devices continues to escalate in areas like consumer electronics (e.g., wearables and hearables), smart-home automation, and others. The global wearable technology market is projected to grow at a CAGR of 14.6% and expected to reach $186.14 billion by 2030. The smart-home marketplace was valued at $121.59 billion in 2024, and estimates point to $633.2 billion by 2032.
Such growth emphasizes the importance of edge AI solutions offering advanced functionality while optimizing power consumption to extend battery life.
Recently, AONDevices launched the AONix Edge AI Sensor Module, an advanced platform targeting intelligent, battery-operated, edge Artificial Intelligence of Things (AIoT) solutions. Developed in collaboration with P-Logic Consulting, including sensor integration from InvenSense. the 32- × 32-mm module addresses the challenges of high power consumption, integration complexity, and limited configurability in edge AI systems. It offers a scalable, energy-efficient platform that can serve a variety of applications.
Delivering real-time AI performance for always-on, battery-operated devices, the AONix Sensor Module leverages the AON11xx processor family, which is designed for low-power, always-on AI processing. It combines with P-Logic’s novel hardware architecture to enable real-time AI performance for battery-operated applications in a variety of edge use cases.
The module also incorporates TDK's MEMS sensors, including a digital microphone and IMU, for precise acoustic and motion sensing. A variety of configurations can expand functionality with environmental sensors, an optical heart-rate monitor, an LCD display, and a speaker.
Features include integrated sensor fusion that merges data from multiple sensors for context-aware insights; connectivity via Wi-Fi, BLE, and Matter protocols, ensuring secure IoT integration; and advanced battery management for optimal energy efficiency with protection against overcharging, over-discharging, and thermal issues. A developer-friendly platform, supported by the AONx360 ML platform, for rapid AI model development, debugging, and deployment.
