Visual Quality Control—Visual Inspection To Boost Quality

10 PB

of managed data

1 million

events / second

10 years

of experience

Visual quality control use cases

DISCRETE MANUFACTURING

Detect production defects

Improve quality output with defect detection models and end-to-end quality control solutions for discrete manufacturing, electronics, and other applications. We use both cloud-native services and custom models to meet scalability, latency, and throughout requirements.

LOGISTICS AND SUPPLY CHAIN

Monitor logistics operations

Leverage specialized computer vision solutions for warehouse and logistics use cases, including inbound quality checks, label recognition, and traceability.

PREPROCESSING

Perform advanced video preprocessing

In real-world settings, visual quality control often requires complex preprocessing of image and video data to detect individual objects, remove shadows, etc. Once the video is preprocessed, out-of-the-box anomaly detection models and cloud-native services can be used to perform the standard operations.

TRACKING

Track multiple objects

Our visual quality control solutions can analyze complex environments with multiple objects, and perform checks for each object.

Our clients

RETAIL

HI-TECH

MANUFACTURING & CPG

FINANCE & INSURANCE

HEALTHCARE

SECURITY

Our latest innovations in visual quality control

Visual Quality Control with
AWS Lookout for Vision

Insights

Building a visual quality control solution with AWS Lookout for Vision and advanced video preprocessing

In this post, we demonstrate how to build an advanced video preprocessor and integrate it with Amazon Lookout for Vision, using a food processing use case as an example.

Insights

Visual quality control automation for logistics operations: A starter kit for GCP

In this article, we describe how to build a solution for automatic quality checks using computer vision methods and Google Cloud infrastructure for logistics and warehouse operations.

Insights

Industrial label recognition made easy with AutoML

In manufacturing, laboratory, logistics and even healthcare industries, people have to deal with standard, labeled equipment and materials. In this blog post we describe how modern cloud AutoML platforms make it easy to build an industrial label recognition system from scratch.