Kitting application

Digitized monitoring of multi-component packing activities where defined sequence of operations in kit packaging carried manually Digital work instructions with step and sequence verification Real time monitoring and rectification with alerts

Kitting application

Industry

Automotive

Result 1

99% First time right 35% increase in productivity

Deployments

Machine Eye (AI driven video analytics) is a non-intrusive approach to monitor correctness and completeness of manual activities AI model trained to identify components and processes happening through video streams

Result 2

•Kitting of multiple components intoa single box is a manual activity and hence prone to errors

•Shipping of packages with less orexcess parts

•Challenges in ensuring rightquantities of parts packed as against the required quantities per the SKU

•Counting becomes impossible afterbox is packed as it’s not visible and weight differences can be too less todifferentiate and misleading due to no visibility

•Lack of data to back trace the rootcause of any errors and improve the process

•Machine Eye (AI driven video analytics) is a non-intrusive approach tomonitor correctness and completeness of manual activities

•AI model trained to identifycomponents and processes happening through video streams

•Digitized monitoring ofmulti-component packing activities where defined sequence of operations in kitpackaging carried manually

•Digital work instructions with stepand sequence verification

•Real time monitoring andrectification with alerts

•Compatible with all cameras andoptimized for low bandwidth; 3rd party data integration

•Improve ergonomics and efficiencyof the process with data gathered on historical errors

Back to All Case Studies

customer success

See intelligent sorting & counting in action

Discover how industry leaders are replacing manual processes with Jidoka's AI vision systems.

100% Detection of Tastmakers in Multipacket noodles packinging

Defect detection

Read case study

How Maruti Suzuki Automated and Scaled Engine Bore Inspections with Jidoka

Automotive

Engine Tappet inspection with AI vision and HURON hardware

Detects 10+ critical defects with >99% accuracy
Processes 200+ images/500 MB per part in 6 seconds
Identifies subjective defects like linemark, chatter mark unclean and more…

Read case study

How Britannia Automated In-line Inspection for Biscuits with Jidoka

FMCG

High-speed biscuit inspection with automated quality control:

Near 100% accuracy at 12,000+ biscuits per minute
Precise automated rejection of defective biscuits
Retrofitted into existing production lines

Read case study

How Diageo Achieved In-Process Labeling Precision with Jidoka

Manufacturing

Labelled bottle inspection with AI vision system and modular hardware:

Complete Label inspection automation at 300+ bottles/minute
Ensures accurate text, orientation, and label quality
Automates end-of-line quality control and consistent standards

Read case study

In-line defect detection on screen priniting process

FMCG

Read case study

CONNECT WITH OUR EXPERTS

Discover how Jidoka can help you reduce costs & improve efficiency.