Tracking – OpenCV Basics #4
In the previous post, we learned a little bit about colour spaces and utilised the power of HSV thresholding to detect our desired objects. However, our detection method, like many others,
Tag: Machinevision
Detecting color – OpenCV Basics #3
In our previous posts, we mainly focused on processing grayscale images. Even when our initial material has color, it often makes sense to convert it to grayscale to reduce the computational
Counting money from coins – OpenCV Basics #2
In the last post about OpenCV, we demonstrated the library’s power by solving the problem of detecting road lines. While that was an impressive example, we’ll now expand our knowledge by
Detecting lines on a road – OpenCV Basics
Machine vision has seen significant growth in recent years. Advancements in hardware and improvements in algorithms have made image-based analysis much easier and more effective. While the term “AI” is quite
Why security testing for embedded systems fails (and how to fix it)
A connected insulin pump silently transmitting unencrypted patient data. An industrial controller accepting unauthorized firmware updates over a legacy serial port. These are the kinds of failures that define what’s at
ESP32-S3 vs C6 vs P4: Which Espressif SoC is best for your 2026 IoT roadmap?
Choosing the right chip is the single most consequential decision on any IoT development project, yet the terminology across ESP32 versions vs IoT development documentation often muddles what should be a
How to integrate Google Sheets with Jira for smarter IoT test plans
Integrating Google Sheets with Jira gives IoT and embedded teams a practical, low-cost way to manage test plans without the overhead of enterprise QA tooling. Testing is often treated as the
Tracking – OpenCV Basics #4
In the previous post, we learned a little bit about colour spaces and utilised the power of HSV thresholding to detect our desired objects. However, our detection method, like many others,
Detecting color – OpenCV Basics #3
In our previous posts, we mainly focused on processing grayscale images. Even when our initial material has color, it often makes sense to convert it to grayscale to reduce the computational
Counting money from coins – OpenCV Basics #2
In the last post about OpenCV, we demonstrated the library’s power by solving the problem of detecting road lines. While that was an impressive example, we’ll now expand our knowledge by
Detecting lines on a road – OpenCV Basics
Machine vision has seen significant growth in recent years. Advancements in hardware and improvements in algorithms have made image-based analysis much easier and more effective. While the term “AI” is quite
