Revolutionize Operations with Industrial AI Vision

Canopy Vision delivers secure, scalable AI solutions tailored for industrial environments. Our platform ensures rapid deployment across diverse hardware, transforming your operational ideas into reality with expert guidance.

Industrial AI Vision Platform

Canopy Vision makes it easy to deploy AI vision in industrial, manufacturing, and remote environments. Our secure and cost-effective AI solutions help you monitor processes, improve quality control, and enhance workplace safety. Canopy Vision can be deployed at the edge or on a central server, and can connect to any existing camera, enabling fast integration without disrupting your current setup. Whether you need a full turnkey solution or software that runs on your own hardware, we provide the tools and expertise to bring industrial AI vision to life.

Industries

Power / Utility

Ensure safety compliance and monitor critical operations in real time.

Warehouse / Logistics

Strengthen loss prevention and maintain workplace safety standards.

Oil & Gas

Detect fires early and manage field equipment with real-time AI monitoring.

Mining

Reliable AI vision solutions, even in the most remote and rugged environments.

Agriculture

Optimize operations with real-time process and yield monitoring.

Manufacturing

Improve product quality and streamline production line oversight.

How It Works

Select from one of the two device options below:

Installation & Setup

Install the camera and configure your AI vision system

Whether you're using a Canopy self-cleaning camera or an existing on-site camera, setup is simple. Connect the device to an Ethernet line with Power over Ethernet (PoE). If you're using your own camera, link it to our Edge AI Device on a network with camera access. Visit the Edge AI Device web portal via its IP address to complete configuration.

Video Recording

Begin automatic video capture with Canopy Vision

Once connected, the Canopy Camera or Edge AI Device will begin capturing video footage automatically. Depending on your use case or industry application, you may only need to record for a few days before training begins.

Extract Images

Use the web portal to extract frames for training

Select diverse video frames—day/night, weather variations, lighting conditions—to create a robust dataset. The more image variety, the better your AI model will perform. Aim to extract 3,000–5,000 images during this phase.

Annotate Images

Label your data using the built-in annotation tools

Use the intuitive web portal to annotate images for tasks like image classification or object detection. Most users can label thousands of images in just a few hours.

Train the Model

Train your AI model in the cloud or on-premise

Connect your device to the Canopy Cloud Training Service or a local training server to build your custom AI model. Training typically takes about 8 hours depending on complexity.

Deploy AI Model

Deploy your model to the camera or Edge AI Device

After training, deploy the AI model to your Canopy Camera or Edge Droplet. Real-time predictions will begin to appear on the live video stream, and all data can be exported via the web portal.