Every Defect, Caught.
Before It Leaves the Line.
Computer vision that catches what tired inspectors miss — surface flaws, cracks, dimensional drift — on every unit, at line speed.
Current Situation
Manual visual inspection catches 70–85% of defects on a good day. After hour six on a shift, fatigue sets in and defects ship. The next sign of trouble is a customer complaint, a returned batch, and a multi-lakh penalty negotiation with the OEM.
The cost isn’t just the penalty. It’s the recall cost, the OEM relationship damage, the rework that consumes a week of capacity, and the slow erosion of the reliability reputation that took years to build.
What Inspectiq Does
InspectIQ inspects every unit as it moves down the line, detects defects in real time, isolates the affected batch, and alerts the QC manager on WhatsApp the moment a problem is found. Defects are caught at source — not in a customer’s complaint email.
Surface Defect & Crack Detection
Surface flaws, hairline cracks, scratches, weld defects, and finish anomalies identified in real time on every unit — at line speed, frame by frame.
Dimensional Anomaly Flagging
Out-of-tolerance dimensions, misalignments, and assembly errors detected against your specifications — without slowing the line for manual measurement.
Batch-Level Quarantine Triggers
When a defect pattern emerges, the affected batch is flagged for quarantine before it leaves the floor — preventing the entire run from shipping with the same fault.
Instant WhatsApp Alerts to QC
QC manager notified the moment a defect is found — with the image, the unit ID, the line position, and the defect type — so root cause investigation starts in minutes, not days.
How It Works
No fatigued inspectors. No defective batch shipped. No customer complaint that should have been caught upstream.
Amazon S3
Call recordings land in Amazon S3 the moment they are uploaded.
Amazon Transcribe
Amazon Transcribe converts the audio into accurate, speaker-attributed text.
Amazon Comprehend
Amazon Comprehend analyses sentiment, intent, and key entities across the conversation.
AWS Lambda
AWS Lambda orchestrates the pipeline and delivers a structured report within seconds of the call ending.
Why It Holds Up
Deployed in your AWS account
InspectIQ runs inside your own AWS environment. Production data, line images, and defect records never leave your infrastructure.
Data resident in AWS Mumbai
All images, inspection logs, and analytics processed and stored in the AWS Mumbai region — protecting your manufacturing IP and maintaining process confidentiality.
Trained on your line, not a generic dataset
Defect models tuned to your specific products, materials, and acceptable tolerances — because a scratch on an automotive panel and a scratch on a PCB are different defects with different consequences.
MES and ERP integration
Connects to your existing Manufacturing Execution System or ERP via API — so defect data flows into the systems your production and quality teams already use for reporting and traceability.
Edge-ready architecture
Inference runs close to the line for sub-second latency — so defects are caught at the moment they occur, not after the unit has moved three stations downstream.
BUILT FOR
Plant Quality Heads, Production Managers, and Operations leaders at auto component, electronics, packaging, pharma, and consumer goods manufacturers
where first-pass yield, customer return rate, and OEM penalty exposure drive the P&L.
