Digica is an AI/computer vision specialist designing and delivering intelligent solutions from edge to cloud. We have worked on 260+ edge AI and vision projects within manufacturing processes, medical analysis, and defense. Our proprietary Synthetic Data SDK generates images to successfully train detectors and achieve comparable results with detectors trained on real images. This is especially useful when it is hard to source real images. Our motivation to work in AI is driven by the desire to contribute to the advancement of human achievement. Over half of our projects are healthcare-based, with AI used to improve diagnoses of critical conditions, enhance medical imaging, remote diagnostics, and optimize hospital procedures.
Digica
Recent Content by Company
Digica and J-Squared Announce Concept-to-completion Pipeline for Edge AI Solutions at Embedded Vision Summit 2024
May 8, 2024
Edge AI services span full life-cycle development for applications across defense, medical, manufacturing, and semiconductor sectors May 8, 2024 – At the 2024 Embedded Vision Summit, global edge computing leader J-Squared Technologies and international software solutions provider Digica will announce a comprehensive solution for concept-to-completion edge AI development The joint offering, which will be demonstrated […]
Navigating the Ethical Labyrinth: Unraveling the Complexities of AI Ethics
March 11, 2024
This blog post was originally published at Digica’s website. It is reprinted here with the permission of Digica. Our world is experiencing rapid evolution, particularly in the realm of technology. AI stands out as one of the fastest-growing technologies, capturing the imagination not only of developers and scientists, but also of ordinary people. While science-fiction […]
How is AI Transforming the Semiconductor Industry?
March 5, 2024
This blog post was originally published at Digica’s website. It is reprinted here with the permission of Digica. The semiconductor industry stands as a driving force behind technological advancements, powering the devices that have become integral to modern life. As the demand for faster, smaller and more energy-efficient chips continues to grow, the industry faces […]
Edge AI in Medical Applications
February 27, 2024
This blog post was originally published at Digica’s website. It is reprinted here with the permission of Digica. A practical use for object detection based on Convolutional Neural Networks is in devices which can support people with impaired vision. An embedded device which runs object-detection models can make everyday life easier for users with such […]
IoT for Dummies: Decoding the Language of Your Smart Building
February 21, 2024
This blog post was originally published at Digica’s website. It is reprinted here with the permission of Digica. As smart home technology continues to evolve, our homes are becoming equipped with an increasing number of sensors, each capable of generating valuable data. From security systems and motion detectors to monitoring electricity and water usage, these […]
Do You Know When You Don’t Know Something?
February 14, 2024
This blog post was originally published at Digica’s website. It is reprinted here with the permission of Digica. We all have that one uncle in the family who knows the answer to every question. Even if that answer is often wrong. Let’s call him Uncle Bob. From politics to science, he confidently shares his opinion […]
Radar Santa Classifier
February 7, 2024
This blog post was originally published at Digica’s website. It is reprinted here with the permission of Digica. Here goes a second edition of our special Christmas treat for you! (The first one was about Santa Classification using classical Computer Vision techniques. It not only was accurate – catching even the Grinch – but also […]
Feeding the World with AI: A Study In the Use of Synthetic Data
January 24, 2024
This blog post was originally published at Digica’s website. It is reprinted here with the permission of Digica. Increasing yields has been a key goal for farmers since the dawn of agriculture. People have continually looked for ways to maximise food production from the land available to them. Until recently, land management techniques such as […]
How to Find the Best “Food” for Your AI Model
January 16, 2024
This blog post was originally published at Digica’s website. It is reprinted here with the permission of Digica. When you want to take the best possible care of your brain, certain things are recommended, such as fatty fish, vegetables, doing some brain exercises, and learning new things. But what about artificial neural networks? Of course, […]
A Handful of Thoughts On the Practical Use of Generative Adversarial Networks
January 12, 2024
This blog post was originally published at Digica’s website. It is reprinted here with the permission of Digica. A Generative Adversarial Network (GAN) is a concept that was developed in 2014 by a team of distinguished researchers led by Ian J. Goodfellow. In short, we train two deep neural networks in parallel so that the […]
Context is (Nearly) Everything: How Humans and AI Understand Visual Stimuli Differently. Or, When is a Bird a Bird?
January 4, 2024
This blog post was originally published at Digica’s website. It is reprinted here with the permission of Digica. As humans, we have a visual system that allows us to see (extract and understand) shapes, colours and contours. So why do we see every image as a different image? How do we know, for example, that […]
What I Like About Autoencoders
December 21, 2023
This blog post was originally published at Digica’s website. It is reprinted here with the permission of Digica. Autoencoders have existed in Data Science for a long time. This type of model has three sequential parts: the input layer (encoder); the hidden layer; and the output layer (decoder). It seems like a simple concept, but […]
How to Fool a Neural Network
December 12, 2023
This blog post was originally published at Digica’s website. It is reprinted here with the permission of Digica. Nowadays, no one needs to be convinced of the power and usefulness of deep neural networks. AI solutions based on neural networks have revolutionised almost every area of technology, business, medicine, science and military applications. After the […]
Deep Learning Models Which Pay Attention (Part II): Attention (Special Focus) in Computer Vision
November 29, 2023
This blog post was originally published at Digica’s website. It is reprinted here with the permission of Digica. In the previous article, I described attention mechanisms by using an example of natural language processing. This method was first used in language processing, but this is not its only usage. We can also use attention mechanisms […]
Deep Learning Models Which Pay Attention (Part I)
November 15, 2023
This blog post was originally published at Digica’s website. It is reprinted here with the permission of Digica. The attention mechanism made big changes in deep learning. Thanks to this, models can achieve better results. This mechanism was also the inspiration for perceivers and also transformer neural networks . And transformers led to the development […]
Why is Explaining Machine Learning Models Important?
November 8, 2023
This blog post was originally published at Digica’s website. It is reprinted here with the permission of Digica. Why is explaining machine learning models important? The main focus in machine learning projects is to optimize metrics like accuracy, precision, recall, etc. We put effort into hyper-parameter tuning or designing good data pre-processing. What if these […]
Heart Rate Detection with Open CV
November 2, 2023
This blog post was originally published at Digica’s website. It is reprinted here with the permission of Digica. Heart rate detection with Open CV It’s probably no surprise to you that heart rate can be measured using different gadgets like smartphones or smartwatches. But did you know you can measure it using just the camera […]
