Lincode Intelligent Visual Inspection System - LIVIS

AI-Powered Visual Inspection
No-Code Platform
Data-Driven Insights

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Capture

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Annotate

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Train

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Deploy

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Improve

LIVIS Suite

Our flagship product, Lincode Intelligent Visual Inspection System (LIVIS), enables manufacturers to train and deploy AI models for surface defect detection and assembly verification with a simple, no-code platform. LIVIS is compatible with most camera systems, supports on-premise or cloud deployments, and seamlessly integrates with existing factory environments.

Edge+

Edge-based computer vision controller that runs AI inspections and inferencing

  • Conducts real-time visual inspections of components, assemblies, and packaging
  • Improves the accuracy and capabilities of traditional machine vision systems
  • Deploys on-premise in client-controlled environments
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Insights

Intuitive platform to manage Edge+ controllers and multiple workstations

  • No-code interface to train new parts and defects
  • Update inspection parameters and track key metrics
  • Reduce time to value and total cost of ownership of inspection systems
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Platform

Advanced analytics and reporting of critical manufacturing metrics

  • Track parts, defects, and unique identifiers
  • Perform root cause analysis, supplier grading, and preventative maintenance
  • Improve first pass yield, throughput, and overall equipment effectiveness
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The world’s most advanced AI inspection system for manufacturing

Our flagship product, Lincode Intelligent Visual Inspection System (LIVIS), enables manufacturers to supercharge the accuracy and capabilities of machine vision systems with the power of advanced artificial intelligence (AI). The LIVIS Suite provides three core products:

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    LIVIS Platform. Empowers manufacturers workers to easily train and deploy AI models for new parts, defects, and production lines.

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    LIVIS Edge+. Conducts real-time inspections of parts-in-production and end-of-line using advanced AI to improve the accuracy and capabilities over traditional machine vision.

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    LIVIS Insights. Provides detailed analytics and reporting for deploy, root cause analysis, and predictive maintenance.

Core Competencies

Defect Detection

Identify and classify surface defects, FOD, and other anomalies in components, assembles, housings, hoses, seals, finishes, and more.

Assembly Verification

Identify, classify, and verify the presence and placement of components and parts in production to ensure proper assembly during in-line and pre-delivery inspection.

Label Inspection

Scan, verify, and track label and barcode information to ensure content accuracy, data traceability, and regulatory compliance.

livisPlatform

No-code platform to train and deploy AI models for new parts, defects, and production lines

  • arrow 1 Intuitive development interface to manage workstations, update inspection parameters, and track key metrics
  • arrow 1 Secure platform to aggregate and manage data from multiple production lines and factories
  • arrow 1 Reduce time to value and total cost of ownership of inspection systems
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    Pre-Trained AI models 

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    Auto-Annotate Datasets

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    Store Data On-Prem or Cloud

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    Fast Deployments

AI InspectorTM

Recipe Builder

Continuous Learning

AI Inspector

Train and deploy proprietary, industry-specific AI models using 30-50 images (avg).

Platform 7

Create and deploy customized inspection workflows to conduct visual inspections using AI inspections.

Continuous learning

LIVIS is a true deep learning platform. The more inspections you run, the more smarter it becomes.

livisEdge+

Advanced edge-based software solution designed to transform industrial inspections with speed, accuracy, and expanded capabilities

  • arrow 1 Provides the runtime environment for LIVIS AI models to conduct real-time visual inspections without reliance on cloud latency
  • arrow 1 Improves the accuracy and capabilities of traditional machine vision systems with advanced AI
  • arrow 1 Improves the accuracy and capabilities of traditional machine vision systems with advanced AI
  • Unparalleled Accuracy

    Unparalleled Accuracy

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    Expand Inspection Capabilities

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    Hardware Agnostic

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    Seamless Integration

Operator Panel

Controller

Hardware & Software Integration

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LIVIS includes a user-friendly panel for operators to run inspections and generate reports. The panel is fully customizable by clients and system integrators.

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Plug and play edge controller (computer) to deploy the runtime software on-premise in client-controlled environments.

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LIVIS connects to existing camera and lighting systems for easy installation. LIVIS also integrates with ERP, MES, PLC and other industrial control systems.

livisInsights

Comprehensive analytics and reporting of critical manufacturing metrics

  • arrow 1 Reporting and data aggregation software for LIVIS Edge+ deployments
  • arrow 1 Provide critical data for root cause analysis, supplier grading, and predictive maintenance
  • arrow 1 Implement data traceability and audit trails throughout production and product lifecycles
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    Data Traceability

  • Track Performance-1

    Track Performance

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    Measure KPIs

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    Corrective Actions

Traceability

Root Cause Analysis

Predictive Maintenance

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Our flagship product, supports on-premise or cloud deployments and enables manufacturers to train and deploy AI models for defect detection with a simple no-code platform.

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LIVIS can identify patterns in inspection results and cross reference data from multiple sources to identify sources of production anomalies.

Insights 3

LIVIS can analyze visual data to identify patterns and trends based on defect occurrences and assembly failures. This helps production managers take corrective actions before failures occur.

Evolution of Visual Inspection

Traditional Machine Vision
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Traditional Machine Vision

Traditional Machine Vision systems generally have limited functionality, rely on controlled environments, and often produce high rates of false calls. These limitations are a function of "rule-based" systems, where any deviation from a control set may be marked defective. However, many manufacturing parameters permit certain variances or operate in dynamic environments, rendering traditional systems unreliable and causing bottlenecks in production and quality control.

Standard AI Platforms
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Standard AI Platforms

Standard AI Platforms have overcome many limitations of rule-based systems but require extensive datasets to produce reliable results. The lack of available data covering the range of parts, defects, and production environments often leaves manufacturers in pilot purgatory. Resolving these issues often requires significant investment and machine downtime.

Livis is different

Is Different

LIVIS is a true deep learning platform, unbound by rule-based systems. LIVIS gets smarter over time and learns which variances are acceptable and which are not. LIVIS also comes with pre-trained models built on custom industry- and use case- specific datasets, enabling manufacturers to deploy significantly faster than with other AI platforms. As a result, LIVIS consistently outperforms traditional machine vision technology and other AI platforms in accuracy, latency, and speed. 

Key Features and Benefits:

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Unparalleled Accuracy

Increase the efficiency of traditional vision systems with LIVIS by improving reliability of inspection results and reducing false calls.

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Expanded Capabilities

Supercharge legacy camera systems with LIVIS by expanding their native capabilities for quality inspection to include advanced defect detection, assembly verification, and label inspection.

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Data Traceability

Capture images, inspection results, timestamps, and unique identifiers to comply with regulations and track data during production processes and beyond.

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Hardware Agnostic

Connect LIVIS to existing cameras and factory control systems to improve quality inspection without expensive hardware upgrades or major process changes.

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No-Code AI Platform

Train and deploy Lincode’s proprietary AI models for new parts, defects, and production lines using a simple, no-code interface.

Part Recipe

Curated Datasets

Go live with new use cases in under a day by leveraging Lincode’s pre-trained AI models and industry-specific datasets for a wide range of manufacturing processes and materials.

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Centralized Management

Manage workstations and data from production lines across the globe, whether deploying LIVIS on fixed camera stations, conveyers, robotic arms, or mobile devices.

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Analytics & Reporting

Analyze inspection results to track performance and improve manufacturing processes, first pass yield, throughput, and overall equipment effectiveness. 

Industries

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Automotive

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Aerospace & Defense

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Electronics

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Semi conductor

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Printing & Packaging

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Food & Beverage

Use Cases

PCBA circuit board

PCBA inspection

  • Check for solder inspection, solder bridge, improper solder
  • Identify missing components
  • Ensure proper component placement for polarity
Learn More
IGBT inspection

IGBT inspection

  • Verify sequence position for array of components
  • Check for presence of thermostat
  • Validate vendor matching component
Learn More
UPSinspection

UPS inspection

  • Identify Surface defects like scratches, dents
  • Validate presence of fastener
  • Verify alignment of cable connection
Learn More
Piston Inspection

Piston Inspection

  • Check for the presence/absence of pins 
  • Track the number of pins 
  • Defect analysis such as, scratches, porosity, black spot
  • Color analysis
Learn More
Stem Bracket

Stem Bracket

  • Identify presence of holes
  • Check for OCR 
  • Check for the presence of chamfer on the metal product
Learn More
Clutch Plate

Clutch Plate

  • Identify the rivet missing from the part
  • Identify the rivet damage
  • Track the pad damage 
  • Track the pin damage 
  • Identify the wrong assembly 
Learn More
Cylinder Block

Cylinder Block

  • Detects dents and damages
  • Recognizes chips
  • Captures and verifies OCR readings
  • Detects excess Loctite
  • Identifies Foreign Object Debris (FOD)
Learn More
Transmission Gears

Transmission Gears

  • Detects rust formation
  • Identifies dents 
  • Recognizes dirt
  • Inspects for full, partial, or zero grinding
  • Detects incorrect welding
Learn More
Cylinder Head

Cylinder Head

  • Detects scratches, dent marks, and thread damage
  • Identifies chips in the oil gallery hole
  • Recognizes burrs at the injector bore intersection
  • Detects foreign particles
Learn More
Input Shaft

Input Shaft

  • Identifies shaft variants
  • Detects notches
  • Verifies proper assembly sequence
  • Identifies rust and burrs
  • Detects chip-off
Learn More
FrontBack Side Door

Front/Back Side Door

  • Check for proper pin placement
  • Detect the presence of white papers
  • Inspect twitter markings
  • Verify hand rest installation
  • Ensure red light functionality
Learn More
Diesel Injector Needle

Diesel Injector Needle

  • Detects grinding defects
  • Identifies delamination
  • Recognizes grinding marks
  • Detects tip damage
  • Identifies scratches
  • Check for droplets
Learn More
Brake Backplate

Brake Backplate

  • Detect double punch marks
  • Identify excess material
  • Inspect for improper coating
  • Recognize scratches
  • Detect dents
  • Identify cracks
Learn More
Window Rollers

Window Rollers

  • Classify parts into LH and RH
  • Detect surface roughness
  • Identify damages
  • Recognize flash
  • Detect discoloration
Learn More
Car Bumper

Car Bumper

  • Detect surface defects
  • Identify shape deformations
  • Verify the presence and absence of clips,  screws, rivets, nut springs, sensors etc
  • Inspect for aesthetic defects
Learn More
Engine

Engine

  • Verify assembly accuracy
  • Check for the presence and absence of child parts and features
Learn More
Fuel Tank

Fuel Tank

  • Detect holes
  • Identify dents
  • Recognize black spots
  • Detect rust formation
  • Verify OCR readability
  • Identify damages
Learn More
Engine Valve

Engine Valve

  • Detect coating loss
  • Identify surface roughness
  • Recognize surface defects
  • Check for dimensional errors
Learn More
Gearbox

Gearbox

  • Identify plastic deformation
  • Detect abrasion
  • Recognize cavitation
  • Inspect for cracks
Learn More
Differential

Differential

  • Detect porosity
  • Identify microcracking
  • Identify microcracking
Learn More
Drive Shaft

Drive Shaft

  • Identify cracks in the rubber bearing
  • Detect pipe deflection
  • Check for slotted joint backlash
Learn More
Transfer Case

Transfer Case

  • Identify dents
  • Detect cracks
  • Recognize porosity
Learn More
Catalyst Inspection

Catalyst Inspection

  • 360 degrees inspection
  • Detect Plugged cells 
  • Identify surface defects like dents, bends, coating defects
Learn More
Connecting Rod Inspection

Connecting Rod Inspection

  • Inspect for bolt plan burrs and burr in bush
  • Detect crack marks and chip offs
  • Identifying chamfer presence and absence
  • Capturing the Needle print OCR
Learn More
Wiring Harness

Wiring Harness

  • Identify rubber surface defects like chip off, dents and breakage
  • Detect surface defects on child parts
  • Detect metal breakages
Learn More
Turbo Charger

Turbo Charger (Housing components)

  • Identify presence and absence of holes and chamfer
  • Detect surface defects like dents and scratches
  • Classify part accurately
Learn More
Cockpit or Dashboard PDI

Cockpit or Dashboard PDI

  • Presence of parts as per variant 
  • Identifying Surface defects like scratch, crease, wrinkles, glue presence and more
  • Detecting Stitching and paint defects
Learn More
Paintinspection

Paint inspection

  • Identifying surface defects like scratches, pinholes 
  • Detect Dirt and rate orange peel 
  • Detect paint runs and sags
Learn More
Weld inspection

Weld inspection

  • Identifying porosity and burn through
  • Detect spatter and undercut
  • Track absence of welds
Learn More
Sealant Inspection for Door and Hood

Sealant Inspection for Door and Hood

  • Detect excessive or missing sealant
  • Verify mastic count
  • Ensure gap consistency of hemming and mastic sealant
Learn More
stud

Body/ Stud inspection

  • Detect surface detects like dents, cracks
  • Verify stud counts and detect missing studs
  • Validate for stud alignment 
Learn More

Third-Party Integrations

LIVIS seamlessly integrates with most industrial systems and processes, including those shown below.

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okta
Authentication and SSO Systems
onelogin
ping
SAP
Factory Talk
MES
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Dassault systemes
opcenter
oracle net suite
SAP hana
ERP Systems
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infor
epicor
rockwell automation
Siemens
PLCs
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MITSUBSHI
omron
cognex
Keyence
Smart Cameras
FLIR
Basler
Power BI
tableau
BI Tools
Qlik
SAP Analytics cloud
IBM ca
LIVIS Third-Party Integrations

Frequently Asked Questions

Unlike most AI-based systems, LIVIS requires minimal data for training. Typically 30 samples per defect and 30 good samples are sufficient to develop the model.

LIVIS requires an image based on the defined defect size for training and is therefore hardware-agnostic. It can be deployed across various camera systems, including fixed camera stations, conveyor-mounted cameras, robotic arms, and SPMs. Apart from native integration with leading camera system providers such as Baumer, Basler, and Lucid, Lincode through FTP makes it compatible with other providers such as Cognex, Keyence,, as well as mobile devices. This flexibility makes LIVIS cost-effective by allowing the reuse of existing cameras where investments have already been made, or by selecting readily available cameras to reduce procurement or replacement lead times.

Our platform utilizes advanced techniques, such as transfer learning, to expedite the setup of new production lines. Once LIVIS is trained on one line, it can rapidly adapt to new lines with minimal additional data and training time.
By leveraging transfer learning, we significantly reduce the effort and resources required to onboard new lines, streamlining the expansion process and making it more efficient and cost-effective.

Lincode leverages supervised learning, but its LIVIS platform requires minimal data (fewer than 100 data points) to start. LIVIS utilizes a combination of supervised and semi supervised learning techniques to train its AI models. This enables the system to learn from both labeled and unlabeled data, allowing it to detect defects and anomalies with high accuracy. LIVIS's patent-pending Evaluate and Train feature ensures continuous learning and enhances accuracy over time.

The inspection cycle time is the total time required for the system to process an image, make a decision, and trigger a response. This includes image capture, processing, decision-making, and signaling hardware actions (e.g., accept/reject).
Cycle time varies based on hardware, software, and network latency. The LIVIS inference time typically operate at 100–150 milliseconds, balancing performance and cost. For high-speed applications like FMCG, we achieve inference times below 50 milliseconds

The LIVIS software and its license are the intellectual property of Lincode. However, any input data provided by the customer, such as images used for inspection, remains the sole property of the customer. Similarly, any output data generated through the inspection process, including reports, analysis, and inspection results, will also be owned by the customer.

Lincode does not claim ownership of customer data and ensures that all proprietary information remains confidential and secure.

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