OpenCV Portfolio | Scopic

ShadeWave

Ovi — Thu, 23 Apr 2020 09:19:07 +0000

ShadeWave

The platform that’s putting bright smiles on patients

Confidence for dentists, dental laboratories, and patients.

The Dental Shade Challenge Summarized

Shade matching can be one of the most difficult aspects of dental restoration. Dentists’ hard-work and effort can often be wasted if shade tabs are inconsistent and lighting is poor. Once a shade has been determined, communicating with dental labs can also be inefficient and ad hoc.

The Vision Behind the App

ShadeWave’s vision was to make patients happier by enabling dentists and labs to determine dental shades more accurately. Their team aimed to offer a secure, HIPAA-compliant environment for dental practices and labs to communicate in real-time. No software or special equipment required!

Their vision was concretized into a dental software idea which would mathematically determine and map a tooth’s shade, translucency and value from a digital camera image. Color correction would be done by analyzing a scientifically formulated reference target; without the need for shade tabs.

They approached Scopic’s custom healthcare software development professionals as they knew that working with an affordable, competent and reliable team would help make their idea come true.

The Scopic Solution

Scopic developed a shade matching software using advanced image processing algorithms to calculate tooth shade, translucency and value at the touch of a button. By doing so Dentists are now able to eliminate the guesswork from color mapping and save their patients time and money. This orthodontic software was designed to work with any clinical digital camera. This makes it user-friendly and affordable too. Scientifically formulated reference targets were incorporated into the built-in color correction and shade mapping technologies. This helps users avoid inconsistent shade tabs.

Moreover, approved as HIPAA compliant, ShadeWave’s cloud-based software allows dental practices to communicate with labs in real-time. They can also access data from anywhere to ensure prompt and accurate restorations. This software simplifies the process for everyone: from practitioners and patients to lab teams and ceramists.

Skills Involved:

AWS HTML5 Image Processing Algorithms Opencart OpenCV PHP Rest API Scalable Cloud Back-Ends SQL Web Frameworks Yii Cross-Platform Development Responsive Design

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Headhash

Ovi — Tue, 21 Apr 2020 23:12:51 +0000

Headhash

The fun app that realistically mixes up any part of your face

Have the urge to merge.

The Face Entertainment Challenge Summarized

People look for fun ways to pass their free time. When imagination and curiosity strike, one may randomly wonder how they would look given different features in their face.

People like guessing what their face would be like with or without wrinkles, a smaller nose, and maybe even blue eyes. They like the surprise element these entertaining guesses provide. However, they lose interest if the apps they find are unrealistic or hard to use.

The Vision Behind the App

Headhash wanted to build tool that would allow users to mix their face with their friends or family. As fun as that! Or even better: borrow Lady Gaga’s eyes with Justin Bieber’s head and mix them together.

Headhash aimed to create a fun solution that would include a combination of up to 4 face shots, shaken not stirred. That would provide the so-wanted realistic results. Moreover, they envisioned users loving to fix up their own pictures and create the perfect post for their social media.

The company’s entertainment app idea aligned with Scopic’s experience, and thus they sought our team’s application solutions.

The Scopic Solution

Scopic designed and created the Headhash app with face fusion functionalities. Its user-friendly and intuitive interface enables a fun experience for the users. All the functionalities are very easy to navigate. Headhash app lets you either use the iPhone camera or choose from the photo library. Once you get photos in, you can start creating “headhashes” in seconds:

Select one image for each facial feature – –head, eyes, nose,, and mouth.

Press “Make a Face”

And More!

Within seconds these features are hashed together in space to render a face montage.
Lastly, the users can also share the hashes with others to spread the fun experience.

Skills Involved:

C++Image Processing Algorithms iOS Development OpenCV Responsive Design

SEE ON APPSTORE

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Brand Analysis Application

Ovi — Sat, 27 Dec 2014 19:18:09 +0000

Brand Analysis Application

The app that promotes smarter decision-making in sporting event marketing

Build brand awareness and attract customers in sports events.

The Sports Billboards Challenge Summarized

In multi-media campaigns, billboards take a considerable part of the budget. This is because it has proven to affect audience reach if the ad is done correctly – particularly in sporting events. The goal may be to increase awareness, call to action or directly influence sales. However, it can be difficult to understand how effective a billboard actually is. And its use and effectiveness are often not analyzed but rather taken for granted or vaguely estimated.

Sporting events largely depend on ad spend and consumption. But businesses looking to promote through billboards not only need to know where they are available but also have some guarantee and transparency for the services.

The Vision Behind the App

The Brand Analysis tool was thought up to help tackle this issue. The idea was to apply smart technology to the world of advertising as a way to substantially streamline the work that goes into building ad campaigns. The company noticed a gap in the attempt to provide smarter opportunities to the sporting events market when it came to making decisions regarding which ads were to be visible and at what price.

Their vision of innovative improvement aligned with Scopic team’s experience, and thus they reached out and discussed our technology solutions.

The Scopic Solution

Scopic designed and developed The Brand Analysis application using C++, C# along with Computer Vision Algorithms. The software’s unique design represented a video and advertisement application that was programmed to detect and find advertising billboards in sporting events automatically. The application was tailor-made to record, gauge, and then determine:

The time frame for which each billboard was visible

The position of the billboard

And more!

These statistics could then be used for analytics and pricing.

Skills Involved:

C#C++Computer Vision Algorithms Installer OpenCV Video Cross-Platform Development Responsive Design UI Design UX Design

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BabyMaker

Ovi — Wed, 24 Jun 2020 19:28:11 +0000

BabyMaker

The app that helps you visualize your future baby with just two photos

Snap. Upload and see your future family with just a few snapshots.

The Baby Generating Challenge Summarized

Have you ever wondered what you and your partner’s future baby could look like? Or what a baby between Jennifer Aniston and David Schwimmer (Ross & Rachel) would actually look like? What if there was a way where you could visualize this?

The Vision Behind the App

The team at BabyMaker wondered these exact same things. They dreamed of a fun app where people could use pictures of ‘mom’ and ‘dad’ to envision just what these future ‘babies’ could look like one day without having to wait 9 months!

With other ‘face morphing’ apps and technologies on the market, the team at BabyMaker found them to be unreliable and unrealistic in the results that they produced. With this in mind, they sought out to create an app that would give their customer a legitimate idea of what the baby would look like.

The Scopic Solution

The team at BabyMaker came to Scopic to brainstorm and bring their app idea to life.

Using machine learning development software, our team of experts set out to create new algorithms to help the user visualize a more practical version of their future baby using two pictures.

Using facial recognition technology, the BabyMaker app takes the two pictures submitted to create a completely new, and unique face ‒ your baby’s! Unlike other apps that produce cartoon-looking images, the BabyMaker app detects facial features from both pictures to generate a new, real-life picture based on the combination.

The great thing about the app and the technology used is that the pictures don’t have to be in the best quality in order to create a realistic picture as an end-result.

Skills Involved:

C++Image Analysis Image Processing Algorithms Machine Learning OpenCV

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iMakeup Booth

Ovi — Tue, 29 Sep 2015 20:41:45 +0000

iMakeupBooth

The app that’s adding a little glam to your life

Easy, Breezy, Beautiful, Covergirl.

The Makeup Challenge Summarized

Rapid development in technology has led to promising changes in a number of industries, including cosmetics. Many people are turning to online makeup tools to enhance their skills and keep up with the latest trends. However, there is a lack of attention towards detail that tends to make these tools unrealistic.

Some provide a bunch of random pictures that the user can swipe through, some don’t have enough variety in the products they offer, while others have low quality visuals that create a negative user experience.

The Vision Behind the App

The founders of iMakeup booth value all sorts of art forms. Keen to use their artistic eye in the cosmetic field, they sought to facilitate stylish makeup choices. They aimed to provide users with fun ways to explore the world of makeup, giving them the chance to experiment before purchasing expensive products.
iMakeup booth’s vision focused on giving users an improved solution amongst all the growing alternatives for makeup apps. With this in mind, they approached Scopic to professionally develop their idea into a mobile application.

The Scopic Solution

The Scopic team developed the iMakeup booth app for iOS. They focused on building user-friendly and intuitive features. So how does it work? Users can simply take a picture looking directly into the camera. They are then given the option to apply whichever makeup look and products they want to try out. With an appealing variety of products at their disposal, all makeup-enthusiasts can quickly change between colors and looks.

This popular application is now used by many to hone in on what makes them look really amazing. Time and money is saved as consumers test out the latest trends before deciding what products are worth purchasing.

Skills Involved:

C++Facial Recognition Image Processing Algorithms iOS Development OpenCV Parse Web Frameworks Responsive Design UI Design UX Design

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Teeth Whitening

Ovi — Thu, 11 Dec 2014 16:13:25 +0000

Teeth Whitening

Automatically visualize the effects of teeth whitening procedures for patients

Quickly and accurately.

The Whitening Challenge Summarized

There is a lot of demand for teeth whitening. Some people have always wanted a beautiful, white smile. Others have noticed their teeth have gone yellow throughout the years due to coffee consumption, cigarette smoking, and so on. So, when they reach a dentist they want to see what taking this step fully means for them. And dentists, on the other hand, find it difficult to describe exactly how their teeth would look like after the process. Either way, patients may end up with unrealistic expectations and so unsatisfied with the job.

The Vision Behind the App

The company’s vision consisted of facilitating this step for dentists. They aimed to provide them with simple means to show patients what they would look like after the procedure was done. This would simplify their work, save time, improve customer satisfaction, and at the end effectively whiten the teeth with the desired shade.

The team sought a custom healthcare software development company that would help them bring their vision into reality – that’s when they approached Scopic.

The Scopic Solution

Scopic worked together with the company and built Teeth Whitening software. This dental imaging software enables dentists to consult their patients properly and evaluate the most suitable treatments for each one. Behind-the-scenes of the application’s modern interface, Scopic custom developed a sophisticated algorithm utilizing the detection of facial features, including lip contours and tooth segmentation. Additional features include:

Software protection

Presentation mode

Printing capabilities

Skills Involved:

C++Image Processing Algorithms Native and Cross Platform Sdks OpenCV Qt Agile Development Cross-Platform Development Responsive Development

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ToolSet Auto-Outlining System

Ovi — Thu, 27 Nov 2014 14:58:25 +0000

ToolSet Auto-Outlining System

Enabling advanced design features through easy-to-use software

Efficient outlines through automatic scanning.

The Tools Design Challenge Summarized

Design engineers require complex software to create blueprints and schematics for structures, systems, machines, and equipment. However, they often need to produce simple outlining designs for their tools. With the current market trends, it would require vast knowledge to use those complex systems and thus lots of time, affecting engineers’ productivity.

The Vision Behind the App

The company aimed to provide a way for all engineers to create 2D design or outlines automatically with minimum efforts. They aimed to save time and improve the efficiency of the overall workflow.

They learned about Scopic’s experience with image analysis, and we joined forces to work towards the common goal.

The Scopic Solution

ToolSet Auto-Outlining System platform takes advanced computer vision algorithms and enables the scanning of the tools. Users are then able to design their own custom toolbox mold to fit those particular tools.

Skills Involved:

C++Computer Vision Algorithms Installer OpenCV PDF

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Image Stitching

Ovi — Tue, 30 Apr 2013 10:07:06 +0000

Image Stitching

A seamless image stitching app

Snap. Upload. Stitch.

The Image Editing Application Challenge

People looking to combine their mobile photos into one single shot have often had a hard time finding a tool that performs these specific functions without too many extra bells and whistles.

Thus, there becomes a need to create a function-specific application that focuses on helping users combine one or a few simple actions.

The Vision Behind the App

The company behind Image Stitching wanted to create an application that would allow users to edit photos from their desktop or mobile devices. The main objective was to provide functionality where users could combine multiple images into one. With this idea in mind, the company reached out to Scopic to begin developing the photo editing app.

The Scopic Solution

Image Stitching is a photo library that can be used on desktop or mobile devices for combining multiple photos with overlapping fields of view into one image.

It can be used for different purposes including for the production of high-resolution panorama images. The app is implemented using an OpenCV library.

Skills Involved:

AKAZE C++Image Processing Algorithms OpenCV ORB Detectors Cross-Platform Development Native App Development UI Design UX Design

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MakeMeOld

Ovi — Tue, 23 Nov 2010 17:37:55 +0000

MakeMeOld

MakeMeOld
The Image Editing App That Will Show Your Future Self

Check what you’ll look like when you’re old

The Challenge of Getting Old Summarized

Most people fear getting old and the one question that bothers us the most is what will we look like in the future?

Unfortunately, we can’t know the answer until we actually age and see ourselves in the mirror. But luckily, technology lets us play around with time and see variations of ourselves in the future.

The Vision Behind the App

The founder of MakeMeOld envisioned a desktop image editor app that would allow its users to check what their future selves would look like. He wanted to build an app that would be entertaining and would help people get their minds out of everyday activities. He imagined that the face aging app would analyze the faces of users by checking their photos and showcase the results immediately. So he joined forces with Scopic, a desktop application development company, to create MakeMeOld.

The Scopic Solution

Scopic, with its desktop application development services, helped build MakeMeOld. Our coders used technologies such as C++, Linux, and image processing algorithms when working on the app.

Today, anyone who wants to see how they will look like in the future can use MakeMeOld, get the results in a few seconds, share with friends, and have big laughs.

Skills Involved:

C++Image Processing Algorithms Linux OpenCV

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iBrows

Ovi — Wed, 21 Apr 2010 22:42:20 +0000

iBrows

The app that shapes the perfect eyebrow

Subtle and realistic results.

The Eyebrows Challenge Summarized

The aesthetic importance of eyebrows is always highlighted. There are various shapes and shades that make an ideal eyebrow for different women. And when its natural form is not always on point, that affects the overall look. So, people get their brows plucked, threaded or waxed to get their desired result.

Before doing that, having to guess how their brows would look becomes very challenging. The tools in the market are often not realistic and serve more for entertainment purposes rather than a functional one.

The Vision Behind the App

The iBrow company sought to provide a solution for all the women that grew tired of just wondering. They wanted to make the experience as user-friendly as possible, and provide various alternatives. The company wanted to have both a fun and practical way to modify the eyebrows digitally.

So, they approached Scopic and worked together on an interactive application.

The Scopic Solution

Scopic designed iBrows mobile application for all iOS users. It allows intuitive modification of the eyebrows to realistically show different shapes, shades, and colors. They can be changed by sculpting intensity, thickness, density and contrast. The app provides customization functionalities on eyebrow:

Arch Positioning

Taper Control

Before and After Effects

The team used Facial Recognition technologies and Image Processing Algorithms to achieve high realistic aesthetics.

Skills Involved:

C++Image Processing Algorithms iOS Development OpenCV Responsive Design

SEE ON APPSTORE

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OpenCV Portfolio | Scopic

ShadeWave

ShadeWave

The platform that’s putting bright smiles on patients

Confidence for dentists, dental laboratories, and patients.

The Dental Shade Challenge Summarized

The Vision Behind the App

The Scopic Solution

Skills Involved:

Other Projects

Have an idea you’re looking to explore?

Headhash

Headhash

The fun app that realistically mixes up any part of your face

Have the urge to merge.

The Face Entertainment Challenge Summarized

The Vision Behind the App

The Scopic Solution

Skills Involved:

Other Projects

Have an idea you’re looking to explore?

Brand Analysis Application

Brand Analysis Application

The app that promotes smarter decision-making in sporting event marketing

Build brand awareness and attract customers in sports events.

The Sports Billboards Challenge Summarized

The Vision Behind the App

The Scopic Solution

Skills Involved:

Other Projects

Have an idea you’re looking to explore?

BabyMaker

BabyMaker

The app that helps you visualize your future baby with just two photos

Snap. Upload and see your future family with just a few snapshots.

The Baby Generating Challenge Summarized

The Vision Behind the App

The Scopic Solution

Skills Involved:

Other Projects

Have an idea you’re looking to explore?

iMakeup Booth

iMakeupBooth

The app that’s adding a little glam to your life

Easy, Breezy, Beautiful, Covergirl.

The Makeup Challenge Summarized

The Vision Behind the App

The Scopic Solution

Skills Involved:

Other Projects

Have an idea you’re looking to explore?

Teeth Whitening

Teeth Whitening

Automatically visualize the effects of teeth whitening procedures for patients

Quickly and accurately.

The Whitening Challenge Summarized

The Vision Behind the App

The Scopic Solution

Skills Involved:

Other Projects

Have an idea you’re looking to explore?

ToolSet Auto-Outlining System

ToolSet Auto-Outlining System

Enabling advanced design features through easy-to-use software

Efficient outlines through automatic scanning.

The Tools Design Challenge Summarized

The Vision Behind the App

The Scopic Solution

Skills Involved:

Other Projects

Have an idea you’re looking to explore?

Image Stitching

Image Stitching

A seamless image stitching app

Snap. Upload. Stitch.

The Image Editing Application Challenge

The Vision Behind the App

The Scopic Solution

Skills Involved:

Other Projects

MakeMeOld
The Image Editing App That Will Show Your Future Self