Artificial Intelligence Supported Production Line Tracking System

Description

Target Market:

Metal and glass container production

Bottling (Soda, Beverage, Milk,...)

Packaging (Cosmetics, Pharmacy, Cleaning, Food,...)

Machine parts (press, injection machines)

Problems:

Production lines lose at least $22,000 an hour to productivity-destroying failures.

Data collection often fails due to incompatible technology or negligent workforce.

Managers cannot predict failures as data analysis requires at least 2 days.

Operator reporting is done with significant delays to other departments (due to maintenance, chief executives, operations manager, paperwork or complex software or non-business messaging).

Time-consuming software data entry is a huge problem for operators and administrators.

Solutions and Value Proposition:

Automatic data collection.

Compatible with unusual conditions.

Installation in one day.

Unskilled worker who does not require training for installation.

Safe and reliable.

No negative effects on equipment.

Simple reporting on quality and quantity.

Machine learning for content filtering and classification.

Informing suppliers and communicating faster with effective historical information.

The minimum expected OEE increase is 15%.

Low cost per camera: $30.

Only one week is required for system training.

Main Features:

Simple and real-time production line status information.

Easy reporting from anywhere.

Simple cameras and open source hardware that can be used anywhere.

AI assistant using ChatGPT and language models for industrial use.

Automating with machine learning and problem classification that requires no software data entry for operators and administrators.