Edge AI & Embedded Systems
Cloud computing is impractical when sensors operate in remote Indian mines, agricultural fields, agricultural warehouses, or rural industrial belts with intermittent cellular coverage. Our Edge AI and Embedded Systems engineering delivers end-to-end hardware solutions: from schematic circuit design and multi-layer PCB layout to ultra-low-power firmware with on-device TinyML inferencing.
Hardware Engineering Competencies
Custom PCB Schematic & Layout Design
Industrial-grade multi-layer PCB design in KiCAD / Altium with EMC/EMI suppression, surge protection, reverse polarity protection, and thermal heat sinking.
TinyML Quantized Edge Inference
Deploying 8-bit quantized TensorFlow Lite Micro models directly onto STM32 Cortex-M4 and ESP32-S3 silicon for real-time acoustic, vibration, and sensor anomaly detection.
Long-Range Radio Communication
Integrating LoRaWAN (865 MHz India Band), 4G LTE-M / NB-IoT, RS485 Modbus, and Bluetooth Low Energy (BLE 5.2) for robust industrial mesh networking.
Ultra-Low-Power Energy Harvesting
Deep sleep firmware architectures consuming less than 15 µA in sleep state, enabling 3 to 5 years of autonomous operation on standard lithium batteries.