AUTOMATIC VISUAL QA

Spryte Verified

Description

Our client is a big dairy company, with multiple factories across Uruguay that produce a diverse range of dairy products.

Challenges

Automate the discovery of manufacturing failures for multiple factories.

Solution

Build a system that can be installed at different parts of the pipeline to visually inspect the products and raise an alert when detecting any failure. This involves computer vision and IoT technologies working together to run at real time, without internet connection. Impacts: The company avoids requiring an expert to check out the production lines multiple times a day. Plus, when an error occurs, our system raises an alert and an operator can stop the production line immediately, saving Conaprole hundred of thousands of dollars.

Project Overview

Domains

Food Services

Food Services

Manufacturing

Manufacturing

Agriculture

Agriculture

Project Types

Artificial Intelligence

Artificial Intelligence

Embedded Devices and IoT

Embedded Devices and IoT

Custom Development

Custom Development

Automation

Automation

Testing (QA)

Testing (QA)

AI Data Analysis

AI Data Analysis

Anomaly & Fraud Detection

Anomaly & Fraud Detection

Predictive Analytics

Predictive Analytics

AI Enterprise Model Tuning

AI Enterprise Model Tuning

Model Evaluation & Monitoring

Model Evaluation & Monitoring