Building Smart Elderly Monitoring Systems With Edge AI and AIoT
Join Rajesh Dommaraju from Spanidea as you explore how AIoT, edge AI, and embedded sensing can be combined to design smarter elderly monitoring systems for healthcare applications. We will share practical insights into building scalable, intelligent solutions using ST’s SensorTile box PRO and AIoT Craft Platform.
Whether you are working on embedded systems, IoT, AI/ML, or healthcare innovation, this webinar will offer valuable perspectives and real-world application ideas.
Key takeways:
- Understand how Edge AI enables real-time elderly monitoring
- See how AI can enable fall detection, temperature anomaly detection, and voice-based distress assistance
- Understand the process of collecting sensor data, developing ML models, and deploying them on embedded devices
- Gain engineering insights into building scalable intelligent systems for healthcare and safety applications
Date and Time
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- Starts 10 September 2026 07:00 AM UTC
- Ends 26 September 2026 02:00 AM UTC
- No Admission Charge
Speakers
Rajesh Dommaraju of Spanidea
Biography:
Rajesh is a Senior Director of Engineering at Spanidea Systems with 11+ years of experience building embedded systems, Edge AI, and hardware-software co-design capability from the ground up. He leads technical strategy and delivery across embedded firmware (Zephyr RTOS, BLE/GATT), RTL/FPGA, and automotive software (AUTOSAR, UDS, ISO 26262), partnering with global semiconductor and technology leaders on AI-at-the-edge solutions. He recently led a hardware and firmware program for real-time safety monitoring on Edge AI platforms for elderly care monitoring. He is oassionate about moving intelligence from cloud to edge, and about teams that ship hardware and software together. Open to conversations on Edge AI, neuromorphic computing, and engineering partnerships.