Machine vision & inspection
Vision-system design and integration for automated inspection, presence/absence checks, identification, defect detection, and image-based decisions.
Hi, I'm Orlando — a Machine Vision Engineer and Vision Integrator with a background in electronics, industrial automation, and software development. I enjoy solving the problems that stand between a good idea and a system that works on the production floor.
Practical systems thinking, from image quality to machine integration.

I'm an electronics engineer working in machine vision and industrial automation, where cameras, optics, lighting, control systems, and software come together to solve real manufacturing challenges.
In my work at Samuel Automation, I focus on vision-system integration, inspection and measurement applications, machine communications, and practical software tools that help manufacturing teams access and use their data.
My background also includes a Master of Engineering in Energy Systems from the University of Melbourne, postgraduate studies in industrial automation, and a graduate certificate in Computer Applications Development from Conestoga College. That mix helps me approach problems from both the hardware and software sides.
Away from engineering, you'll probably find me exploring new technologies, enjoying music, playing chess, or spending time outdoors with my family.
More about my professional backgroundMy primary focus is machine vision. Software development is another tool I use to connect equipment, improve workflows, and make information useful.
Vision-system design and integration for automated inspection, presence/absence checks, identification, defect detection, and image-based decisions.
Evaluating field of view, resolution, working distance, and calibration methods for dimensional measurement and challenging industrial parts.
Connecting inspection systems with PLCs, HMIs, and industrial networks so vision results become dependable machine actions.
Creating software for production monitoring, data acquisition, reporting, and custom workflows, backed by hands-on web and database experience.
Today, my work is centered on machine vision and automation. Below are examples of the types of engineering challenges I work on, followed by some earlier software projects that shaped my approach to building useful tools.
Application design around camera performance, lighting, timing, image-processing tools, and integration with machine cycles.
Exploring optical measurement methods and sensor arrangements for features where access, precision, and repeatability matter.
Connecting shop-floor equipment to data collection, dashboards, reports, and diagnostic information.
Selected projects from my development and research background.

An applied image-acquisition and processing project exploring visual analysis of coffee beans.
Developed as a desktop application using MATLAB and its image acquisition and image processing toolboxes (2018).

Inventory and invoicing software developed for a hardware business.
A custom business web application developed in 2021 to support inventory and sales-related workflows.

A web-based inventory system designed for school libraries.
Developed in 2019 to organize and manage library resources.

A web application for student attendance and access management.
Created for a public school, supporting attendance and on-campus access records (2018).

A school infirmary application for organizing student visits and medical records.
Built in 2020 as a web application to support school nursing workflows.

A small typing game exploring interaction design and front-end programming.
A personal learning project built primarily with JavaScript during web-app development coursework (2021).
Whether you're exploring an inspection concept, working through an automation issue, or considering a software solution, I'd be happy to hear about it.
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