Too much video
Relevant moments are buried in long recordings.
Local road traffic intelligence
Understand what is happening on the roads you manage.
Turn camera observations into searchable vehicle events, reviewable evidence, traffic patterns, and reports—without asking operators to watch hours of video.
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Product interface
The operating problem
Traffic questions need more than anecdotes.
Communities and site operators often know that speeding, unexpected traffic, or repeat activity is a concern, but continuous recordings are slow to investigate and difficult to summarize. A useful monitoring system should preserve context, expose uncertainty, and help people move from an observation to a reviewable record.
Too little context
A plate string alone does not show the source image, vehicle, direction, or quality.
Inconsistent follow-up
Alerts, notes, corrections, and reports need a shared workflow.
Limited visibility
Volume, speed patterns, repeat visits, and system health should be visible without assembling separate tools.
Operational workflow
A practical path from observation to action.
- STEP 01
Capture
A configured camera supplies the authorized road or site view.
- STEP 02
Detect and track
The system identifies and follows a passing vehicle across useful frames.
- STEP 03
Recognize and enrich
It attempts the plate read and adds direction, a calibrated speed estimate, vehicle attributes, camera, zone, and quality data.
- STEP 04
Review
Authorized staff inspect images, candidates, and filmstrip frames, then record corrections or dismissals with a reason.
- STEP 05
Understand and respond
Teams investigate authorized alerts, explore traffic trends, and generate reports for an approved purpose.
Searchable records
Answer operational questions with evidence in context.
The system supports investigation and aggregate analysis without claiming to determine driver identity, ownership, intent, criminal activity, or legal guilt.
01
When are the busiest traffic periods?
02
Which direction are vehicles travelling?
03
What speed distribution is observed after camera calibration?
04
What mix of cars, motorcycles, buses, and trucks passes the site?
05
Which registrations or vehicles appear repeatedly?
06
Which recognition events need human review?
07
Did an authorized watchlist registration create a case?
08
How do results differ by camera, date range, or lighting period?
Use contexts
Adapt the workflow to the road and team.
[APPROVED_TARGET_MARKETS]
Target markets awaiting approval
Proposed residential, campus, industrial-site, and local traffic-study contexts remain unpublished until the commercial team confirms the markets Agentastica supports.
[APPROVED_TARGET_MARKETS]
Why this approach
Keep evidence, uncertainty, and operations connected.
One event per passing vehicle
Tracking consolidates useful observations into a logical record rather than filling the workspace with frame-by-frame duplicates.
Unconfirmed events remain visible
Failed or uncertain reads can still be searched and reviewed.
Evidence and workflow stay together
Images, candidates, corrections, tags, notes, alerts, and history remain connected to the event.
Local operational control
The core application, models, database, and evidence run on operator-controlled infrastructure.
Responsible operation
Plan the policy as carefully as the camera.
A successful deployment starts with a defined purpose, authorized camera location, appropriate access, calibrated geometry, documented retention, and a review process. Configure roles and retention around the team's responsibilities, verify backups, and assess the installation under the law and policy that apply to the site.
- Confirm purpose, authority, notices, and permitted use.
- Define who may view, review, operate, and administer.
- Set evidence and recording retention appropriate to the purpose.
- Commission the camera for day, night, weather, and moving traffic.
- Validate recognition and speed estimates in the actual scene.
- Establish escalation and human-review rules before using alerts.