The Real Cost of Poor Quality (CoPQ)
Can you afford the cost of defects in your production lines?
Defective products not only wipe out your top-line (gross margin impact due to higher Cost of Goods Sold) but also eat into your bottom-line profitability (defective inventories directly impact net income.)
When you add up the cost of warranty claims, service calls, product recalls, reworking, repair, etc., your losses can mount up very quickly.
20%
CoPQ
Cost of Poor Quality as a % of Sales could be as high as 20% or even more in certain cases
20-30%
% Errors
Products requiring 100% manual inspection are prone to errors
The result? A clear and present danger to bottom-line profitability
Introducing AugurAI
A fully customizable and automated system for error detection in assembly-line production and related scenarios across multiple industries, AugurAI is designed for simplicity of deployment and ease of monitoring.
Our proprietary Computer Vision software monitors production line defects in real-time and gives you actionable insights into quality improvement opportunities.
It’s not just a Software
It’s is a complete solution with Robotics, SPMs, Cameras, and state-of-the-art Computer Vision algorithms for identifying defects in real-time.
Internal and External Defect Detection
Our Patent Pending Computer Vision Algorithms can detect defects inside products/components as well as on external surfaces which are otherwise difficult for the human eyes
Hardware Independent and Rapid Deployment
augurAI easily integrates with your existing hardware and software for rapid deployment and scaling.
Built for Shopfloor
Ease of use with zero learning curve for Quality Inspectors and insightful dashboard to reveal quality improvement opportunities and aid in root cause analysis
Problems augurai is built to solve
Internal Defects
Checking defects inside a cylinder or a pipe is made easy with our patent-pending technology
External Defects
Surface defects up at a micron level can be detected with the combination of right optics and computer vision algorithms
Missing Components
Use Computer Vision algorithms to check for missing components in an assembly
Label Verification
Ensuring correct labels are printed on the components and packaging is now easier with our vision technology
Damaged Packing
Real-time algorithms to ensure damaged packaging is identified right on the assembly line and removed
Wrong Components
Use vision systems to implement Poka-Yoke to ensure only the right components are assembled
Ready to start the intelligent quality journey?
Claim your FREE feasibility study here!!!
team is proud to be part of the 3rd Cohort of Incubatees at Atal Incubation Center (AIC-RMP) an initiative of NITI Aayog.
team is a member of the exclusive growX accelerator program of NASSCOM Center of Excellence – IoT & AI at IIT, Gandhi Nagar.
