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Embedded AI, TinyML & Edge Vision Solutions

Bring artificial intelligence out of the cloud and directly onto microcontroller hardware.

Edge AI enables intelligent decision-making directly on low-power devices without requiring expensive cloud bandwidth or continuous internet connections. GenBots specializes in TinyML (TensorFlow Lite for Microcontrollers), camera object detection using ESP32-CAM and Raspberry Pi, acoustic anomaly detection, and sensor vibration pattern analysis.

What We Deliver

  • ✓Model quantization and pruning for deployment on microcontrollers
  • ✓Custom dataset collection and edge model training pipelines
  • ✓Embedded C++ runtime integration on ESP32 and ARM Cortex
  • ✓Benchmarked inference latency and power consumption metrics

Equipment & Technologies

  • ●ESP32-CAM and OV2640 / OV5640 Image Sensors
  • ●Edge TPU Accelerators and Raspberry Pi 5 AI Kits
  • ●Acoustic microphones and 6-axis accelerometer test rigs

How We Execute Your Project

PHASE / 01

Feasibility Analysis

Evaluate edge model complexity vs microcontroller memory and compute constraints.

PHASE / 02

Data Collection & Training

Gather real sensor data and train quantized INT8 models.

PHASE / 03

Microcontroller Porting

Compile model onto target microcontroller using TensorFlow Lite for Microcontrollers.

PHASE / 04

Field Validation

Benchmark inference accuracy, frames per second, and battery drain under real conditions.

Frequently Asked Questions

Can an ESP32 really run Artificial Intelligence models?

Yes, using TinyML techniques (INT8 quantization), ESP32 can run lightweight vision classification, keyword spotting, and gesture recognition in real-time.

Ready to Discuss Your Requirements?

Connect directly with Yash and the GenBots engineering team in Sonipat, Haryana. We deliver on-site and remote engineering support across India.