A 3D outdoor-rated camera with AI trained specifically to recognize people — so restricted zones and ride paths only trigger when a person is actually there.
EandM is an authorized SICK distributor serving manufacturers, system integrators, and industrial facilities across the West Coast — California, Oregon, and Washington — including full support for SICK vision sensors, safety scanners, safety sensors, and IO-Link devices.
The problem with "something's in the zone"
Any theme park or attraction team responsible for ride safety runs into the same gap. A sensor detects something in a restricted zone — but detection alone doesn't answer the question that actually matters: is that a person, or is it a backpack, a stroller, or debris that fell off a ride? Standard motion and presence sensors can't make that distinction.
- Every trigger requires a full stop, even with no real risk present.
- Staff time goes into manually reviewing footage to confirm what tripped the alert.
- Inconsistent rules for what counts as a genuine hazard slow ride restarts.
How Visionary AI-Assist closes the gap
Visionary AI-Assist pairs the Visionary-B Two 3D vision camera with an onboard AI-Assist SensorApp — all data evaluation runs directly on the device, no external industrial PC required. The camera captures the scene using stereoscopic 3D imaging alongside 2D RGB data, and a trained neural network classifies people specifically, distinguishing them from other objects in the field of view. The 3D data then places the detected person spatially, confirming not just that someone is present, but exactly where.
Spec sheet — Visionary AI-Assist
| Specification | Detail |
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| Ingress protection | IP67, rated for outdoor use |
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| Working range | 0.28 m – 16 m (wide FOV) • up to 37 m (narrow FOV) |
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| Field of view | Wide: 130° × 105° • Narrow: 90° × 30° (configurable) |
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| Response time | Typically 200 ms |
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| Operating temperature | −40°C to +55°C |
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| Person recognition | Standing, sitting, squatting, partially concealed, lying down |
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| Ambient light range | 5 lux – 300 kLux |
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| Monitored fields | Up to 16, simultaneously |
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| Interfaces | CAN, digital I/O, REST API, Gigabit Ethernet |
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| Configuration | SOPASair (browser-based) or SICK AppManager — no coding required |
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Where it applies
Restricted-area monitoring
Confirms a zone stays clear of people during ride operation, without triggering false stops for objects that pose no risk.
Human-presence confirmation
Verifies a rider is correctly positioned before a ride cycle begins, or confirms clearance before mobile equipment moves.
What to check before you select a unit
RANGE
Field of view and working distance needed for the specific installation.
ZONES
Number of areas that need independent, simultaneous monitoring.
INTEGRATION
How detections need to feed into existing ride control or PLC systems.
Evaluating Visionary AI-Assist for Your Facility?
If you're evaluating Visionary AI-Assist for a ride safety, restricted-area, or collision-avoidance application, we can walk through the specifications relevant to your installation and arrange a demonstration unit.
BOOK A DEMO