Turn scattered cameras into
one intelligent control room
LINE VISION connects the video streams you already have — CCTV and process cameras — and detects process deviations, safety risks and quality events in real time. The 24/7 monitoring humans cannot sustain, AI does.
Existing camera streams
CCTV and process cameras connected via RTSP/ONVIF — no rework
Object & behavior recognition
People, equipment and material states recognized per frame
Event verdicts
Hybrid of explicit rules and anomaly detection
Alerts · clips · reports
Instant notification with event video clips attached
Not a recorder. A watchtower.
Most factory CCTV is used only as after-the-fact playback. LINE VISION turns the same cameras into real-time detectors — explicit violations are caught by rules, hard-to-define deviations by anomaly detection.
Connect streams
Standard RTSP/ONVIF connection to existing cameras — start without adding channels
Recognize
Workers, equipment, material and forklifts recognized with position and behavior state per frame
Hybrid verdicts
Explicit rules (restricted-zone entry) plus anomaly patterns (unusual congestion, motion, equipment state)
Alert & record
Mobile/beacon alerts with before/after clips; statistics auto-aggregated into reports
* Event-centric recording — not always-on raw storage — cuts both storage cost and privacy exposure.
Your CCTV, as is
Any camera supporting RTSP/ONVIF connects without replacement; scale from dozens to hundreds of channels by adding GPU servers.
Rules + anomaly detection
Missing helmets and zone violations trigger instantly by rule; "different-from-usual" congestion, motion paths and equipment states are caught by anomaly detection — covering risks you never defined.
Clip-attached alerts
Every alert carries a before/after video clip. The control room focuses on response, not judgment — and clips become recurrence-prevention training material.
On-premise · de-identification
Video never leaves your servers. Optional face blurring protects worker privacy alongside safety.
Use Case Analysis
Start with safety monitoring, then extend the same infrastructure to quality QA and standard-work compliance.
Time to awareness: 43 minutes → 8 seconds
Operators watched dozens of monitors, yet most incidents were confirmed only in post-hoc recordings — average awareness took 43 minutes.
Existing CCTV streams were connected as-is; restricted zones, pinch-point risks and abnormal congestion were detected in real time with clips attached to alerts.
Average awareness dropped to 8 seconds with zero safety incidents since launch. Control staff now focus on response, not watching.
Final pack state verified by camera, 100%
Missing/misapplied labels, seal defects and mixed products were found after shipment, at the customer — driving recall costs.
End-of-line camera streams verify label, seal and count in real time; NG packs are diverted immediately.
Packaging defects are now caught in-line, with per-lot QA records generated automatically.
Manual-work standards managed as data
Skipped or reordered steps in manual assembly caused defects, but verification relied on after-the-fact interviews.
Station cameras detect deviations from standard work sequence (skipped or swapped steps) and notify the line leader.
Deviations turn into real-time coaching: work-related defects fell and new-hire ramp-up time shortened.
* Figures and scenarios reflect representative deployments and may vary by process and data conditions.
Specs & Integration
Frequently Asked Questions
Can we use our existing CCTV as-is?
Won't frequent false alarms get ignored?
Does it work at night or in low light?
How is worker privacy handled?
See how much your existing cameras can already tell you
Tell us about your process and data environment — we will come back with a feasibility summary and expected impact.