Use Canopy Vision’s Platform to Deploy and Scale Your Own Internal Vision Projects
Do you have technical teams and data scientists looking to deploy vision internally? With our proven platform tools, you don't need to reinvent the wheel.
How Our Platform Works
Cloud or Edge Computing. Same Application — Same API.
We understand that enterprises may need to adopt both cloud and edge computing across their organization, depending on the use case. With Canopy Vision, the same application can run on field-mounted edge computing devices or centralized GPU servers. This means your teams don’t need to learn multiple technologies and can work with a single API to manage self-deployed instances
- Cloud Computing: For easy scalability and maintenance.
- Edge Computing: For remote, isolated deployments.
API Layer to Interface, with Running Camera Instances
Extract Images
Download Videos
Change Model Settings
Download Model Output Data
Be In Full Control of Your Deployments
With Canopy Vision, you can self-deploy and self-host our applications, reducing the need for 3rd-party external cloud services. Even on strict, isolated automation networks, you can run Canopy Vision seamlessly without a connection to the public internet.
Support for Multiple Model Types
We support most common model types, allowing you to rely on similar tools and the same API for various projects of different complexities.
Classification
Object Detection
Segmentation
Character Recognition
Helping improve industrial operations with A.I. vision since 2018.
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