Zalmotek

Extruding Machine Predictive Maintenance

Nordic Thingy:91

Using predictive maintenance solution can help avoiding critical machinery failure and reduce operating costs. This solution uses AI algorithms to measure key health indicators of machinery and sends alerts before any critical breakdown.

Analog Meter Reading

Arduino Nicla Vision

Analog gauges are used in industrial settings, but they have disadvantages like requiring visual inspection and difficulty of integration into digital systems. Computer Vision and Machine Learning can be used to retrofit them with digital readouts, providing real-time monitoring, reducing maintenance times and enabling alerts to prevent failures.

Gas Detection in the Oil and Gas Industry

Nordic Thingy:91

Gas detection is crucial for worker safety in the oil and gas industry. Unlike traditional systems that use point sensors connected to a central control panel that needs human input, a system built around the Nordic Thingy:91 and Edge Impulse platform can detect gas leakages and act out without human intervention ensuring the safety of employees.

Compressor Predictive Maintenance

Nordic Thingy:53

This project focuses on using machine learning algorithms, IoT devices and predictive maintenance to anticipate and prevent potential failures of the industrial compressor. Vibration data can be monitored to detect anomalous patterns that may indicate a malfunction, alerting maintenance teams before critical failure takes place.

Injection Machine Predictive Maintenance

Tiny Automator

This project uses TinyAutomator and an array of sensors to gather information about functioning parameters of a MEGA T 4435/610 injection molding machine. Using the gathered data and a machine learning model trained with Edge Impulse, it raises alarms when anomalous behaviour is detected.

Quality Assurance

Tiny Automator

Using a M5Stack UnitV2 camera and TinyAutomator, the system monitors a production line based on a injection molding machines and checks objects for flow lines, sink marks, warping and other defects.

Retrofitting for Brownfield Systems

Industrial Shields RPI4B

This project uses an Industrial Shields RPI4B to host a Waylay TinyAutomator instance where data from multiple sensors is gathered. Using custom business logic, the system runs the acquired data through a machine learning algorithm to detect anomalies in the normal functioning of the KME 75-36 B/R extruding machine.

Motion Control System for Video Shooting

RX130B

This project integrates a Stäubli RX130B robot arm with a computer and a professional slow-motion camera to automate tasks used in the film industry. It allows for increased efficiency, accuracy, and reliability in time-consuming tasks that would otherwise have to be performed manually.