Ten Most Innovative Computer Vision Startups

Artificial Intelligence is one of the most disruptive technologies in the world to achieve hyper-growth targets. With the rising number of applications in computer vision, big data, natural language processing, AI is revolutionizing industries, brands, and the lives of millennials. Computer Vision is a crucial AI application which is seamlessly transforming multiple industries and business operations.

Computer vision startups are attracting the attention of investors worldwide, particularly in the US. In fact, the benefits of computer vision models and artificial intelligence are evident in several countries.

Know how these top 10 Start-up Companies are striving to leave a footprint by their Computer Vision technologies

1. NetraDyne

Headquartered in Bangalore and San Diego, NetraDyne’s innovative computer vision is known as DriveriTM. It is a fleet safety and vision-based driver recognition platform. This application primarily analyses every minute of the driving experience and helps the commercial fleet manager with insights about the positive driving data and opportunities for individual coaching.

It also alerts the drivers about any emergency while driving on a specific route and feeds data on lane driving and traffic rule details.

2. Qualitas Tech

Qualitas Tech offers its clients expert industrial automation solutions. They help the brands automate visual processes in manufacturing. Their services include visually guided robots, bearing inspection, optical character recognition, and code reading, etc.

Qualitas Technologies was founded in 2008 in Redmond, Washington. They deliver immense value to leverage the power of artificial intelligence and machine learning to their customers.

3. Streamoid Technologies

Streamoid was established in 2013 and headquartered in Palo Alto and Bangalore. They offer seamless AI solutions for customizing user-interaction in the retail and fashion industry. Their computer vision solutions focus on offering intelligence on differentiating between “shirt dresses” & “dress shirts”.

Streamoid helps in catering two-way communication channel which is easy to discover, integrate and use. They also offer excellent catalog assistance which works as a knowledgeable assistant for hyper-personalized customer experiences.

4. MintM

MintM is a robotic-powered and computer vision-based data platform that aids businesses with real-time intelligent analysis as well as automation with CCTV and other kinds of cameras.

This computer vision platform recognizes customers and objects for offering services like customer loyalty, footfall counts, omnichannel experience and more. In the logistics sector, their services include number plate tracking, package scanning & reading, etc.

5. Vay

Vay is a unique fitness coach application that makes use of human motions for analyzing the overall track performance. This app also provides real-time feedback to the users during their workout, just like a personal trainer.

It utilizes a computer vision algorithm for tracking and digitizing human movements, changing movement patterns in the form of data that can be analyzed in multiple ways.

6. Roboflow Organize

It is yet another machine learning platform that aims to streamline data preprocesses and trains the computer vision models likewise. Their several annotation files and formats take a bit more time to get the images ready for training.

Roboflow aims to build an architecture between the annotation and training phases that computer vision startups require to implement the data annotation process within less time.

7. Camma.ai

Camma.ai has successfully bridged the gap between reality and augmented reality. This start-up seamlessly created a note-taking augmented reality app that enables you to place notes on real objects through your phone’s camera.

The app utilizes the photo of an object and the user types a note on their phone. So, when the user’s camera sees that object, the respective note will pop up.

8. SuperSense

Supersense is an AI-powered technology that scans your neighborhood, nearby objects, texts, or documents. This is a mobile scanner app that is exclusively built for the visually impaired. Hence, through these apps, these special people could easily find their way in a busy day.

The app makes use of object detection and recognition algorithms via the phone’s camera to identify and dictate to the user whatever it is pointed at.

9. Nanit

Specially built for parents, Nanit has become a significant part of their lives. It is a computer vision platform that produces an advanced baby monitor camera that you could view through an app.

Their AI camera easily tracks the baby’s sleeping patterns and records them. The app allows the user to set alerts on when the baby wakes up and when it would fall back asleep. 

10. Data Labeler

Established in 2018, Data Labeler has expertise in providing advanced and reliable training data sets for AI & ML initiatives. With our sophisticated software and efficient data labeling platform, we make sure that your models get trained properly and deployed faster. We tag data such as texts or objects in images or videos to detect and recognize computer vision and train the AI models through machine learning algorithms for the right predictions.

We offer effective services which include bounding boxes, points for facial recognition and body pose detection, texts for image captioning, and more.

Contact us for Seamless Data Labeling and Annotation Services – Sales@DataLabeler.com