AI- powered Autonomous Navigation & Surveillance Robot

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  Frontpage

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  Dashboard

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  Autonomous SLAM

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  Ai perception and & Vision Language Studio

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  Sensors & Hardware perception Telemetry

Inspiration

We wanted to build a robot that can see, understand its surroundings, make decisions, and navigate autonomously instead of relying completely on predefined commands.

What it does

VisionX is an AI-powered autonomous navigation and surveillance robot. It uses computer vision, depth sensing, SLAM, and AI reasoning to detect objects, understand the environment, plan routes, avoid obstacles, and navigate toward a target.

How we built it

We combined React, TypeScript, Tailwind CSS, Vite, Node.js, Express.js, Python, ROS 2, ROS 2 Humble, Nav2, SLAM, YOLOv8, TensorRT, ByteTrack, Gemini AI, Computer Vision, Intel RealSense, RPLiDAR, WebSocket, REST API, MQTT, NVIDIA Jetson, Autonomous Navigation, Robotics, AI

Challenges we ran into

The main challenge was integrating AI vision, depth data, sensors, navigation, telemetry, and robot control into one reliable real-time system.

Accomplishments that we're proud of

We built an end-to-end platform connecting AI perception with autonomous navigation and a real-time command center.

What we learned

We learned how computer vision, AI reasoning, robotics, SLAM, navigation, and web technologies can work together to create an autonomous system.

What's next for AI-powered Autonomous Navigation & Surveillance Robot

We plan to add advanced object recognition, voice commands, multi-robot coordination, automatic docking, predictive maintenance, and smarter AI-based task planning.

Built With

• express.js
• node.js
• python
• react
• tensor
• typescript
• websockets