Local camera analysis records the represented work cycles and connects them with operating data and footage. Supervisors examine waits, interruptions and configured alerts before investigating the corresponding station or task.
Understanding a production delay needs cycle records connected with the activity at the corresponding station. Invisible AI combines three-dimensional cameras, local processing and factory-system inputs for that review. Production staff examine represented movements, cycle durations and interruptions through linked measurements and video.
Edge devices contain depth cameras, an AI processor and local storage. They analyze the selected work areas on site and connect corresponding records with programmable-controller or manufacturing-system data. The application presents cycle, throughput and wait information with the relevant footage. Staff can search a product identifier, shift or selected controller signal to retrieve corresponding video. Configured rules notify assigned operators of line stoppages, interruptions or other chosen conditions.
Supervisors investigate the reported station before arranging the corresponding task or equipment response. Selected coaching functions can suggest line-balancing, layout or process changes. Staff compare footage from related workstations and use station-audit or production reports during the operating review. Site engineers support installation and configuration with the team. Camera placement and process definitions are maintained alongside the factory-system interfaces. The resulting measurements and footage help staff examine the represented production activity and decide which physical action to carry out next.
Sensors, gateways and spare units
Site survey, mounting, commissioning and configuration
Platform subscription, connectivity, data and support
This is an estimate by IoT Apps based on comparable deployments, not a quote from Invisible AI.
Get an estimate for your own project and invite Invisible AI to confirm a price and lead time, on this page. Taxes, shipping, civil works and custom integration are not included. How IoT Apps estimates costs


Find production stops and investigate lost output.

Review factory records and operational recommendations.



The corresponding edge devices process and store video on site. The application links those local records with the selected operating views.
A corresponding PLC input can be linked with the cycle records. The selected search retrieves relevant video using that signal or other supported operating variables.
Configured alerts bring the corresponding event to assigned operators. Staff examine linked cycle records and video before arranging the physical response.
Every page carries a cost estimate by IoT Apps for your own sites and assets; set your budget and invite Invisible AI to confirm a price and lead time.
For 1 site with 10 monitored assets in United States, IoT Apps estimates $2,600 – $8,700 in the first year and $700 – $2,400 every year after. This is an estimate based on comparable deployments, not a quote from Invisible AI.

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