Transformation interior & exterior

In the past half year Studio diip has been going through an appearance transformation. Because we work with all kinds of images, we also love to add them into our visual style. Whether it is inside our building or on the outside. When you have a first look at our website, it is important to us that we show you what we can do with images. For us, a few iconic images have a bigger meaning because we work with them everyday. In this post we will show you how we have been integrating some visual ideas into designs. We have made changes to our hallways, meeting rooms, signing and website and we are working hard to incorporate the same designs into our offers and invoices. 

Wall paintings in the hall

Whenever someone enters our front door they will see two new beautiful big walls in style with Studio diip’s identity. The wall paintings have elements that give hints to Computer vision icons such as: cameras, video cameras, signals and the human eye. In the photo below you will see one of the wall paintings and details from the handmade wall paint that are showcased in our big hallway. 

 Handmade wall painting 

Meeting rooms 

For everyone who hasn’t seen it: underneath our office we have a massive hallway that is used for meetings and testing prototypes. To incorporate the space with our vision, we have made several interior plans to brighten up the somewhat industrial area. The two rooms showcase projects such as the famous: ‘Fish on Wheels’ or Design Awards that we won throughout the years.  The two rooms are also used for lunches and internal and external meetings. Our meeting rooms within the hallway aren’t forgotten in our design plan of course. That’s why we gave them the suitable names: ‘Hough’ and ‘Contour’. Two classical computer vision techniques that are essential in image recognition.  

Interior design of meetingroom

Interior design ‘Hough meeting room’ 

Signing interior

We think it is important to play around with signing. That’s why the meeting room doors are covered with stickers so that everyone knows not to step into the wrong meeting. We used a fish icon to show the ‘Contour’ technique that we use to detecting shapes. The fish shows the Studio diip colors. Did you know we can also detect animals? As ‘Hough’ is a line detection method it is often showcased on architectural images. We wanted to show the lines of Hough techniques on a skyline image.

Door stickers meeting room ‘Hough’ and ‘ Contour’ 

Exterior signage

We needed a sign to show people where we are. Therefor we designed a lightbox that can be turned on whenever it gets dark during winter or evening times. Our neighbour H. de Bruijn Relatiegeschenken b.v. produced the sign for us.


Light sign made by Studio diip and produced by: H. de Bruijn Relatiegeschenken b.v.

Iconic graphic design 

The graphic style of the walls will also carry through on our website and in other company communications such as invoices and offers. Some recognizable icons will be the centre of the designs. We are working hard on our website to show who we are and what we are capable of doing with image recognition. Therefore we naturally like to use images throughout our entire communication.

Iconic images for corporate design

Iconic images for our company graphic style

In the future

We are working hard to implement our creative ideas into all of our communication. Maybe you will see that our invoices and offers will change over time. We also want to make a design for our office to refresh and re-order the interior as well. Let us know what you think!

3D Camera Surveillance

In this video, Studio diip presents its 3D Camera Surveillance software. By combining multiple camera feeds, our software can calculate 3D positions of people and objects.

With deep learning algorithms we can detect people, objects, faces and even where someone is looking on a single camera. By calibrating multiple cameras we can calculate these detections in a 3D coordinate system and visualize them on all camera feeds or in a 3D visualization.

With this technology it is possible to perform more advanced spatial detection and tracking with regular cameras. In this demonstration we show the possibilities for detecting objects, faces and the direction someone is looking at. But it can also be used to check the 3D distance between people or detect abnormal behavior of vehicles.

This software will also be used to form the basis for the Rijkswaterstaat Challenge Detection we are selected for.

Selected for Rijkswaterstaat Challenge

Studio diip has been selected to take part in the Detection Challenge of Rijkswaterstaat (part of government responsible for infrastructure). The challenge is about detecting unsafe situations on and around bridges. Because detecting people and vehicles is one of our expertises, we have entered a proposal for a system that is able to showcase this functionality in a test environment. During the test day at May 13nd several different circumstances will be simulated that possibly lead to unsafe situations. It is then up to the participants systems to timely warn the operators of these events.

Our current detection software has already been tested on various imagery of traffic situations and for the challenge we have developed a simulation model, so we can reenact specific situations on bridges. Up until the test day we will continue developing our system so it is able to handle the specific requirements that Rijkswaterstaat needs.

The Rijkswaterstaat Detection Challenge is part of the Smart Patrol program, that aims to increase security of object observation by using vessels, smart cameras and drones. Together with their activities, knowledge institutes and commercial parties all sorts of new technologies are researched that can make their work smarter and faster.


Studio diip presents: Computer vision demo

Computer Vision demo 

Many projects at Studio diip have to do with using deep learning to train a neural network to detect specific objects. Often though, they are built specifically for our customers and we are not able to show the possibilities to the general public. That’s why we decided to spend some time to create an online demo of object recognition. You can use it to test your own image with some standard algorithms that are trained for different kinds of objects. The algorithms are trained on thousands of photos with different themes and you can test them separately on their own pages: Detecting animals, Detecting electronics, Detecting vehicles and Maritime image recognition. The Computer vision demo detects the specific objects in an image and shows where it is located and with how much confidence.

Maritieme beeldherkenning sloopboten aan de haven

Tug boats in a harbor detected with the Computer vision demo for ships.

Training deep learning networks

For the image detection we use software like: Keras and TensorFlow. Keras is an open source library that is written in Python and works well with the software of TensorFlow. The TensorFlow library is suitable for the development and training of programs that make use of deep learning techniques. With the use of this software we can see how well the algorithm works and optimize accordingly. For the demonstration, the objects are trained on the extensive COCO dataset (Common Objects in COntext). For the examples we have used an algorithm that is trained on a thousand photos with different themes all coming from this dataset. This database contains images of the themed objects that are pointed out by humans and show where the object is hiding in the photo. Therefore the learning algorithm can train itself to automatically recognize what the object looks like in other photos It is also possible to use this technique to detect other kinds of objects.

You can test your own image below, to see how the demo works! 

Image recognition with artificial intelligence (AI)

The technology used in the Computer vision demo can be applied in various ways. For example: We can train a network that analyses electronics on an airport or whenever you want to screen for safety issues on big events. The tool can also be helpful in logistics, science, entertainment or on industrial sites. A beginner can use the tool for educational purposes and an advanced scientist or engineer can use it to gather valuable information to automate complex processes. We can use different online and offline images to detect, count or follow objects. Think about security images, satellite images, heath images or even online streaming. We can embed networks like this for use on personal computers or laptops (Windows or Apple) but it also works on a smartphone (iPhone or Android).

Detecting a herd of zebras

Smart image detection on a herd of zebras