Automates time studies and before-after validation so industrial engineers can prioritize and scale Kaizen work.

Operators responsible for assembly stations, operators, work sequences, walking paths, cycle categories, product numbers, shifts, standard work, layouts, industrial engineers, and improvement projects 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.
Time Study Line Balancing and Kaizen Validation combines connected field data with application software. Edge cameras continuously categorize work, wait, pick, walk, stand, unknown, sequence, cycle duration, product, station, shift, outlier, and contextual video evidence. The application compares every cycle with configured standards and golden examples, finds bottlenecks and micro-stops, supports line balancing. Prioritize Kaizen projects, redesign layouts and material flow, balance work, validate changes across shifts, standardize gains, and detect regression.
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.
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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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