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    Quality Inspection & Vision AI
    Manufacturing / Quality Inspection & Vision AI

    Quality Inspection & Vision AI

    We engineer deep-learning vision systems that inspect every part at line speed — catching surface defects, dimensional drift, and assembly errors that human inspectors miss, without slowing your throughput.

    99.7%
    Defect detection accuracy in production
    <50ms
    Inference latency per frame
    60%
    Reduction in scrap and rework cost

    Trusted by global innovators

    Benchmark
    Chibasco
    Fundency
    Lantimer
    Lauren
    Lera
    One Minute
    Pento Pix
    TAP
    Xtrium
    Healthevolve
    Benchmark
    Chibasco
    Fundency
    Lantimer
    Lauren
    Lera
    One Minute
    Pento Pix
    TAP
    Xtrium
    Healthevolve
    Benchmark
    Chibasco
    Fundency
    Lantimer
    Lauren
    Lera
    One Minute
    Pento Pix
    TAP
    Xtrium
    Healthevolve
    Benchmark
    Chibasco
    Fundency
    Lantimer
    Lauren
    Lera
    One Minute
    Pento Pix
    TAP
    Xtrium
    Healthevolve
    Industry Overview

    Quality Inspection & Vision AI: Engineered End-to-End

    Manual visual inspection catches about 80% of defects on a good day — and quality escapes are your most expensive failures. We build AI-powered inspection platforms that see every part, every time, at full line speed, and feed results directly into your QMS and SPC systems.

    Industry Challenges

    What Stops Most Teams From Solving This Today

    Common friction points we hear from manufacturing teams scoping this kind of platform.

    • Human Inconsistency: Inspector accuracy varies with fatigue, lighting, and shift length — defect escapes cost 10–100× more downstream.

    • Throughput Bottleneck: Manual inspection stations become the line's constraint as production speeds increase.

    • Limited Data Capture: Paper-based or pass/fail inspection loses the rich dimensional and surface data needed for root cause analysis.

    • New Product Ramp: Every new SKU or variant requires weeks of inspector training and updated visual standards.

    Our Approach

    Our Engineering Approach

    We engineer for the operational reality — not the demo.

    Multi-Camera Deep Learning

    Convolutional and transformer models trained on your actual parts — detecting defects human eyes miss at full conveyor speed.

    Adaptive Training Pipeline

    Active learning loops let operators label edge cases on the floor, retraining models overnight without data science involvement.

    Closed-Loop SPC

    Inspection results feed directly into statistical process control charts and trigger upstream corrections automatically.

    Capabilities

    Capabilities

    Production-grade features the platform ships with from day one.

    Surface Defect Detection

    Scratches, dents, porosity, discoloration, and coating anomalies classified by severity.

    Dimensional Gauging

    Sub-pixel measurement of critical dimensions against GD&T specifications.

    Assembly Verification

    Confirm component presence, orientation, and placement in multi-part assemblies.

    Real-Time SPC Dashboards

    Live control charts with Cpk, Ppk, and trend alerts for process engineers.

    Active Learning Studio

    Operators label ambiguous samples on a tablet; models retrain nightly.

    Multi-Camera Orchestration

    Synchronize up to 32 cameras per station with deterministic triggering.

    Reject & Sort Control

    PLC integration for automated part rejection, sorting, and rework routing.

    Traceability & Audit

    Every inspection image and decision stored with part serial for warranty and recall traceability.

    How It Works

    Reference Architecture

    How data and decisions flow end-to-end.

    Camera & Lighting

    High-speed industrial cameras with structured lighting optimized per surface type.

    1

    Edge Inference

    GPU-accelerated edge boxes run models in <50ms with deterministic latency.

    2

    PLC Integration

    Pass/fail signals and reject commands sent to line PLCs via OPC-UA or EtherNet/IP.

    3

    Data Lake

    Every frame, decision, and annotation archived for retraining and traceability.

    4

    Training Pipeline

    Active learning, augmentation, and automated retraining with canary deployment.

    5

    QMS & SPC

    Results stream into your quality management and SPC systems in real time.

    6
    Engineering Stack

    Technology Stack

    A pragmatic stack chosen for reliability, speed, and ease of operation.

    Vision

    GigE VisionGenICamOpenCVHalcon

    AI / ML

    PyTorchONNX RuntimeTensorRTNVIDIA Triton

    Edge

    NVIDIA Jetson AGXLinux RTDockerOPC-UA

    Data

    PostgreSQLMinIO / S3KafkaTimescaleDB

    Apps

    Next.jsReactGraphQLTailwind

    Infra

    KubernetesMLflowLabel StudioTerraform
    Measured Impact

    Measured Impact

    Quantified outcomes from production deployments.

    99.7%
    Detection accuracy

    Across multi-class defect taxonomies in production.

    60%
    Scrap reduction

    Through earlier detection and upstream SPC feedback.

    Throughput gain

    Versus manual inspection stations on the same line.

    <4 weeks
    New SKU onboarding

    From first samples to production-grade model.

    Automotive Body Panel Inspection at 120 Parts per Hour

    A Tier 1 stamping supplier was shipping 2.3% defective panels to OEM customers despite a three-person visual inspection team per line. We deployed a 12-camera deep learning station inline after the press.

    Defect escape rate dropped to 0.08% within three months, the scrap loop shortened from end-of-line to in-process, and annual quality cost savings exceeded $4.2M across two lines.

    Case Study
    Automotive Body Panel Inspection at 120 Parts per Hour
    Use Cases

    Where This Earns Its Keep

    Common deployment patterns we see across customers.

    01

    Stamped Metal Inspection

    Surface and dimensional checks on pressed and formed metal parts.

    02

    PCB & Electronics AOI

    Solder joint, component placement, and polarity verification.

    03

    Plastic Injection Molding

    Flash, short shots, sink marks, and color variation detection.

    04

    Pharmaceutical Packaging

    Label presence, print quality, and seal integrity verification.

    05

    Glass & Ceramic Surface

    Bubble, inclusion, and surface crack detection at high speed.

    06

    Weld Seam Inspection

    Bead geometry and surface porosity analysis on welded assemblies.

    Integrations

    Integrates With Your Existing Stack

    We connect to the systems your teams already know.

    Vision Hardware

    CognexKeyenceBasler

    MES / SCADA

    Rockwell FactoryTalk

    QMS

    Siemens OpcenterETQ Reliance

    SPC

    Minitab

    Quality

    SAP QM

    Compliance-First Development Services Backed by Global Standards

    We build secure, scalable products designed for privacy, interoperability, and regulatory readiness from day one across every sector we serve.

    SOC2 logo

    Service Organization Control 2

    Verified controls for security, availability, and confidentiality of enterprise data systems.

    ISO 27001 logo

    Information Security Management

    Adhering to the international gold standard for managing information security risks.

    ISO 9001 logo

    Quality Management Systems

    Ensuring consistent quality in software delivery and operational process optimization.

    Our Edge

    Why Global Leaders Choose Us

    We combine deep technical expertise with industry-specific knowledge to deliver solutions that aren't just functional, but transformational.

    Enterprise-Grade Security

    We implement rigorous security protocols and compliance standards (HIPAA, GDPR, SOC2) across all industrial solutions to protect sensitive data.

    High-Performance Scaling

    Our architectures are built to handle massive data loads and user bases, ensuring seamless performance whether you're serving ten or ten million.

    Accelerated Time-to-Market

    Leveraging our suite of internal tools and proven frameworks, we reduce development cycles and get your product to market 40% faster.

    Embedded AI Integration

    Beyond simple wrappers, we build deep-learning integrations and predictive analytics directly into the core of your industry-specific workflows.

    Engagement Model

    Engagement Model

    Predictable, structured delivery from kickoff through long-term ownership.

    01

    Discovery & Scoping

    We map the existing systems, constraints, and stakeholders to scope a focused 8–12 week first delivery.

    02

    Architecture & Pilot

    A working slice on a representative environment — proving the data flow end-to-end before scaling.

    03

    Production Engineering

    Hardened services, observability, access controls, and audit logging go live behind your IAM.

    04

    Operate & Iterate

    We stay on as the embedded engineering team — closing tickets, tuning models, and shipping new value.

    Voices of Success

    We don't just build products; we forge lasting partnerships. See how we've helped industry leaders transform their vision into technical reality.

    Benchmark

    "I can clearly see how Agnotic has a unique way of handling end-to-end development. They are always active on quick chat and provide support quickly."

    Aaron Phelan

    Aaron Phelan

    Founder, Benchmark

    My Lauren

    "Agnotic is the best technical team we evaluated. Their engineering excellence made our work dramatically easier and allowed us to stay focused on what matters most for maternal care outcomes. They took full ownership of the technical execution, and we are always happy to continue working together."

    Kim Smith

    Kim Smith

    Founder, My Lauren

    Latimer

    "Agnotic combines deep technical expertise with strong domain knowledge. They understand the business context, anticipate challenges, and make collaboration smooth and effective."

    John Pasmore

    John Pasmore

    Founder, Latimer

    Frequently Asked Questions

    Typically 200–500 labeled images per defect class for a production-ready model. Our active learning pipeline accelerates this — most projects reach production accuracy within 3–4 weeks of first samples.

    Build your next manufacturing platform with us

    We engineer production-grade manufacturing platforms end-to-end. Talk to us about scoping a focused 8-week pilot.