Platform / CAMZA.AI
Ask a question. Start with the relevant moments.
Explore a search workflow that begins with an everyday question and ends with a moment a person can inspect. The website demonstration searches a small, predefined sample index. A production evaluation must establish supported cameras, searchable history, missed events, latency and the evidence available for each match.
UPDATED
A van near the loading dock after closing
Camera · time · reason · original moment
Relevant / irrelevant / needs context
A WORKFLOW TO EVALUATE ↗
A SMALL WORKING EXAMPLE
Ask the sample.
Inspect the moment.
This synthetic scene makes the workflow tangible. Search authored events, inspect the match and explore a rule. It is a website demonstration, with no live camera connection or AI inference.
Read the methodology12 SYNTHETIC EVENTS · 3 MATCHES
Watch for this →Synthetic scene · illustrative overlay, not product output
How this demo works
This browser searches 12 authored synthetic events across four schematic views. It uses a bounded word matcher, with simple time and duration filters. No AI inference, footage playback or customer data is involved. Your queries stay in this browser.
Rules and action previews are simulated. No messages are sent. Product detection, deployment and integration availability must be confirmed for a pilot.
Explore the complete sample index →Build a workflow you can inspect
Describe the moment
Use an object, a place and a time: “a delivery van at the loading dock after closing.”
Inspect the match
Review the visible event, camera and time instead of treating a text match as proof.
Keep the context
Record what was searched, what was reviewed and which clips belong in the investigation.
Questions worth resolving early
Objects can be ambiguous
A dark shape at the edge of a frame may not contain enough information to identify a vehicle.
Time matters
Clock drift, incomplete recordings and timezone differences can change the scope of a search.
A match needs review
Similarity is useful for discovery. A human still checks the original footage before acting.
A few useful questions.
Can I try this on my own cameras?
Start with a compatibility request. Share camera models, firmware and the event you want to find. An evaluation needs an agreed scope before any camera access is arranged.
Is the website demonstration a product benchmark?
No. The sample demonstration uses illustrative scenes and predefined events. It does not measure accuracy, response time or compatibility on your cameras.
What should we agree before a pilot?
Agree which streams are in scope, who can access the data, where processing runs, retention and deletion, expected outcomes, and the person responsible for reviewing results.
YOUR CAMERAS. YOUR CONTEXT.
Start with one
useful question.
A camera inventory. An event to find.
A clear next step for your team.