Glossary
On-Premise Computer Vision
On-premise computer vision deploys AI Vision systems within local infrastructure rather than the cloud.
What on-premise computer vision means in practice
On-premise computer vision processes video data within local infrastructure rather than the cloud. This approach reduces latency and increases control over sensitive data. For regulated or privacy-sensitive environments, on-premise deployment supports compliance while maintaining real-time performance and reliability.
Why on-premise computer vision matters for enterprise teams
- Enhances data privacy
- Supports regulatory compliance
- Improves latency and reliability
- Facilitates continuous improvement
Related content for on-premise computer vision
From blind spots to full visibility: The HSE leader’s playbook for AI Vision
From pilot to scale: how HSE teams turn everyday cameras into real-time safety intelligence: ethically, compliantly, and with ROI you can prove.
Health and Safety Toolkit
Free, practical tools to accelerate your journey to zero harm. Built by viso.ai, trusted by safety professionals in industry leading businesses.
Use-Case Builder
Match your biggest pain points to proven AI Vision use cases. Explore a tailored 'value versus ease of deployment' quadrant.
Edge Intelligence: Edge Computing and ML (2025 Guide)
Edge Intelligence or Edge AI moves AI computing from the cloud to edge devices, where data is generated. This is a key to AI democratization.