Resources

Case Studies

case-studies1

Automotive OEM

Problem Statement

Human visual inspection is a crucial phase in the assembly of automobile engines, vehicle chassis, and the entire car

Solution

  • Detect and classify Engine’s capacity like 1.5 liter or 2.0 liter
  • Detect and classify quality of timing belt assembly in engines​
  • Detect and recognize the numbers on the engine head and crank shaft and acquire the numbers from both parts through an OCR model. Post OCR task perform OEM specific operations and send the post processed information back to their PLCs​
  • Detect and classify the quality of End Cap Assembly in Engines​
  • Detect and classify orientation of piston value springs in the Engine assembly.​
  • Detect and classify the quality of snap ring assembly​

Outcome

  • Reduced errors by 80% reducing rework time to 10%​
  • Zero false negative, Very low false positive
case-studies1

Aluminium Industry

Problem Statement

Enforcing protective gear adherence policy is a problem on the factory floor.​

Solution

  • Detect whether a worker on the factory floor is adhering to protective gear policies of the company
  • Detect whether foreign objects are placed in the path / region which is used by the heavy trolley carrying large amounts of material
  • Detect certain specific operations such as double billet operation in a cold extrusion of Aluminum ​
  • Reporting tool to capture all the protective gear violations and violation of best practice policies for working on factory floor in a granular fashion i.e., unit wise, zone wise, camera wise etc.​

Outcome

  • Higher safety monitoring and compliance
case-studies1

Plastic Moulding Industry

Problem Statement

MCB are plastic-moulded components that need to be visually inspected by a human. Human eye inspection is seldom error-free

Solution

  • Visually detect defective plastic moulded parts
  • Communicate with the robotic arm indicating the location of the defective part to remove it from the assembly line​
  • Early detection of defective moulded parts – means that this defective part can be immediately put back into the plastic melting furnace, thus reducing the wastage to a very low nonzero percentage
  • Identify defective parts with high accuracy thus leading to very good reviews for the company

Outcome

  • Identify defective parts with high accuracy thus leading to very good reviews for the company
case-studies1

Construction

Problem Statement

Lack of adequate transparency in compliance to construction design standards

Solution

  • Detect and calculate rebar length and diameter, reducing potential corner-cutting by contractors or builders
  • Identify absence of binding wire bonding on the steel rod grid thus minimizing the risk of concrete failure on the slab
  • Detect joints in rebars within columns and calculate rebar diameters, preventing corner-cutting by contractors or builders Intelligent reports localize areas with defects, facilitating targeted solutions for remedying issues promptly
  • Early defect detection through AI allows for proactive measures, preventing issues from becoming unmanageable

Outcome

  • Automated Design to Reality alignment without manual check
case-studies1

Healthcare

Problem Statement

Increase in hospital wait times due to surge in non-fatal injury patients’ dressing and redressing processes

Solution

  • Detect and classify wound area and mark the various tissue types
  • Calculate the wound area in CM2
  • Calculate the depth of the wound and build a 3D model of the wound​
  • Capture the respiration and breathing rate of the patient
  • Intelligent reports indicating infected areas of the wound, tracking the healing process i.e., change in the wound area enabling distance treatment by the doctors ​

Outcome

  • Reduced doctor’s time per case from 30 minutes to 10 minutes
  • Increase Specialist attended cases from 16 to 48 cases
case-studies1

Retail

Problem Statement

Availability of Check-Out staff at the POS Asset and their training is a challenge. Inexperienced staff at POS leads to increasing wait times and bad customer experience.

Solution

  • Detect and classify all fruits and vegetables sold as unpackaged items at the retail store
  • Self Check Out – Intelligent Point of Sale (POS) system enables the customer to perform self check-out​
  • Reduced customer wait times and improved customer experience

Outcome

  • Complete automation of self-checkout process

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