AI-Enabled Digital Stethoscope
High-fidelity heart and lung auscultation with multimodal sensing and AI-ready wireless connectivity for telemedicine.
CoBuild Labs · T. Nagar, Chennai, India
Edge AI and connected hardware development
A connected device has to keep sensing, communicating and recovering when network conditions change. CoBuild Labs brings electronics, embedded firmware, software and AI integration together for teams building intelligent physical products.
Discuss your productChoose an architecture the device can sustain
Compute, memory, radio and battery constraints shape where processing belongs. We assess on-device signal processing and model execution alongside the data path and software interfaces.
- Sensor acquisition and signal processing
- Edge inference integration
- BLE, Wi-Fi and cloud interface design
Plan operation beyond the first demo
Connectivity and updates need defined failure behavior. Device state, diagnostics and version compatibility belong in the architecture so later software changes can be validated against the hardware.
- Embedded application and software integration
- OTA architecture and recovery planning
- Power, latency and system validation
Engineering workstreams
Related engineering work
Multimodal Physiological Research Platform
Portable research-grade platform acquiring eight synchronized physiological signals at a fraction of lab-equipment cost.
Frequently asked questions
Should AI run on the device or in the cloud?
That depends on latency, connectivity, privacy, energy and compute requirements. We evaluate these constraints before choosing the hardware and processing architecture.
Can you add connectivity to an existing product?
Yes. The scope starts with a review of available interfaces, memory, power and firmware architecture, followed by a plan for integration and validation.
Plan your next engineering milestone
Share your product stage, technical constraints and target markets. We will scope the work and the evidence your next build needs.
Contact CoBuild Labs