Start with the question you need to answer. These guides explain how AI video works, what equipment you can keep, how manufacturers differ and how to prove a system is useful.
Start and plan
Plan a project
A step-by-step path from operational need to acceptance and handover.
Upgrade an existing system
IP and analog reuse, AI appliances, cloud bridges, compatibility and phased migration.
Pilot and purchasing workbook
Measure detection results, compare costs and record purchasing requirements.
Understand and compare
Browse the 22 platform buyer guides for integration questions and practical pilot exercises.
- How AI improves video—and where it fails: detection, search, metadata and human review.
- Manufacturer comparison for U.S. buyers: selected camera, VMS and cloud approaches, with direct sources.
- Edge, server, cloud and hybrid architecture: data location, outages, costs and equipment reuse.
- Integrations, ownership and cybersecurity: event workflows, IT boundaries, account control and exit planning.
Design the details
- Network, power, storage and compute: capacity planning and infrastructure questions.
- Plate capture and recognition: image requirements, acceptance tests and privacy.
- Remote monitoring and response: what happens after a detection, including escalation and workload.
- Privacy, facial recognition and responsible use: distinguish features and define controls.
Apply the ideas
- Commercial and industrial use cases: warehouses, retail, offices, schools and other environments.
- Pennsylvania and Mid-Atlantic planning: practical site conditions and regional project questions.
A short glossary
| Term | Meaning for a buyer |
|---|---|
| AI inference | Running a model on an image or video to produce a result. |
| Metadata | Descriptions associated with video, such as object type, time or location. |
| Edge processing | Analysis performed at or near the camera rather than in a distant service. |
| VMS | Video management software that organizes viewing, recording and related workflows. |
| False positive | An alert that does not meet the defined event condition. |
| False negative | A qualifying event that the system missed. |
| Interoperability | Specified systems working together; it does not imply every feature transfers. |
| Hybrid | A design that divides functions across local and cloud components. |
These guides are published by NERSA using AI-assisted research from cited public sources. Read the editorial method and publisher relationship. Independent product testing is not claimed.
Publisher’s related applied reference: commercial AI video systems and integration.