We build autonomous robots, computer vision pipelines, and industrial IoT ecosystems — and guide engineering students to deploy the same. Real hardware. Real outcomes.
Here you can experience a live preview of our edge monitoring system, providing real-time data logging, offline neural network inference, and edge telemetry streams directly from physical hardware nodes.
From autonomous ground robots to industrial sensor networks — we design, build, and deploy complete systems end to end.
Real-time object detection, face recognition, OCR pipelines, and gesture tracking — deployed on edge hardware with no cloud dependency.
Differential-drive robots with onboard vision, AprilTag navigation, IR line following, and web-based mission planning interfaces.
Self-powered sensor nodes, MQTT cloud pipelines, RTC-accurate data logging, and live monitoring dashboards for real industrial environments.
Microcontroller-hosted web UIs, multi-device queue management, LED matrix control systems, and Wi-Fi-enabled hardware interfaces.
Custom model training on Edge Impulse, on-camera inference with IMX500, and deployment pipelines that run entirely offline on embedded hardware.
End-to-end mentorship for B.Tech final year projects — topic selection, hardware procurement, firmware, cloud setup, and viva preparation.
Every project below is real — built, tested, and deployed on actual hardware. No simulations. No mockups.
Differential-drive robot with Raspberry Pi AI Camera (IMX500) running COCO person detection entirely on-chip. No cloud, no external compute. Centroid-based steering maintains following distance at walking pace.
Hybrid IR line-following + AprilTag waypoint robot. Tags on the floor encode turn/stop decisions. A custom-built website lets you plan routes visually and assign IDs to actions — no reprogramming needed.
ESP32-hosted web server with a live multi-device queue UI, 16×32 LED matrix display (custom font), and FIFO logic supporting multiple counter points simultaneously — no app install required.
Fully off-grid IIoT node — flyback solar panel + LiPo battery, ESP32, ultrasonic distance sensor, RTC for accurate timestamps, and ThingSpeak cloud logging. Live mobile app shows level, trends, and alerts.
Motorised rotating camera rig captures panoramic images of metal labels. OpenCV stitches frames, EasyOCR extracts composition text, and a custom Edge Impulse ML model classifies alloy grade — fully local on RPi.
MediaPipe Hands tracks 21 landmarks per frame. Four distinct gestures map to control commands. Packaged as a reusable, hardware-agnostic module with a web interface — plug into any robot or app without code changes.
LBPH face recogniser identifies enrolled individuals via webcam and delivers personalised, time-aware greetings. Built for Sri City International University entry. Repeat suppression avoids spamming.
Index finger tip tracked via MediaPipe Hands draws strokes on a persistent OpenCV canvas overlaid on the camera feed. Colour palette and brush size selected by fingertip dwell — completely touchless at 30+ fps.
AI, Robotics, IIoT, Embedded Systems, Computer Vision, Sensor Networks, and Real-World Automation.
We work with B.Tech ECE, CSE, EEE, and Mechanical students on projects that actually impress — functional hardware, clean code, complete documentation.
Topic to demo day — we're with you every step.
We help you pick a strong project idea aligned with your domain and college requirements.
Component selection, circuit planning, and sensor integration tailored to your project's exact needs.
Full embedded code or Python pipeline — clean, commented, and ready for demonstration day.
Live data pipelines, ThingSpeak/Firebase setup, and mobile or web monitoring dashboards.
Complete project report, presentation slides, and one-on-one viva coaching so you walk in confident.
Have a project idea, need a custom system built, or want IIoT guidance? We respond within 24 hours.