Locates defects, organizes evidence.

Operators responsible for manufactured surfaces, continuous material, defects, images, quality criteria, and production decisions cannot continuously inspect every operating condition or developing fault. Periodic checks leave gaps between readings, while isolated local indicators provide limited history and context. A late response can cause downtime, safety exposure, equipment damage, or incomplete compliance evidence. Teams need timely measurements, clear exceptions, and a defined operating response.
Faclon Vision-Based Surface Quality Inspection combines installed sensing and application software to industrial cameras capture surface images while configured vision models identify and classify visible defects. The application locates defects, organizes evidence, and presents supported quality exceptions by line and product. Operators use the resulting dashboard, alert, or workflow to quality and production teams isolate defects, adjust the process, and preserve inspection evidence. This creates a repeatable response to the identified physical operating condition.
A team identifies the monitored assets and operating objective, installs the required components, and configures users, thresholds, schedules, or rules. During operation, the system industrial cameras capture surface images while configured vision models identify and classify visible defects. It applies local or hosted logic so that the application locates defects, organizes evidence, and presents supported quality exceptions by line and product. The application presents the relevant state, history, exception, or recommendation. Operators and managers quality and production teams isolate defects, adjust the process, and preserve inspection evidence, then review recurring patterns to improve the operating process.
Vendor documentation: vendor website
Evidence level: L1 · Vendor-stated: how evidence levels work
Industrial cameras capture surface images while configured vision models identify and classify visible defects
Field sensors, cameras, meters, PLCs, or other supported sources exchange records through the configured edge-to-cloud or on-premises industrial data path
The application locates defects, organizes evidence, and presents supported quality exceptions by line and product
Quality and production teams isolate defects, adjust the process, and preserve inspection evidence
Designed for industrial plants, production facilities, utility areas, warehouses, and infrastructure sites where accountable teams need repeatable visibility and response for this workflow
Authorized users can review current status, history, and operating exceptions
Ask the AI Solution Architect: compare this solution against alternatives, check connectivity for your region, and get integration guidance. Included with IoT Apps Enterprise.
Fit, availability or a detail on this page. Goes straight to Faclon Labs, no project needed.

Trends thermal behavior, applies thresholds.

Applies storage limits, trends conditions.

Schedules work, applies mandatory workflows, connects condition events.
Evaluates geofences and safety rules, displays current and historical location.

Compares energy behavior across machines, loads and operating conditions.

Monitors load-related physical signals so teams can detect overload, unsafe stress, and changing asset behavior.

Omnis models plume movement, identifies likely sources, forecasts risk at receptors.