Top 10 Computer Vision Start-Ups
Top 10 Computer Vision Start-Ups
Artificial intelligence technologies are divided into many sub-categories. There are many different fields of study that constitute artificial intelligence, and one of these fields of study is computer vision.
Computer vision has become a sought-after technology for many sectors with its different functions. Computer vision is also preferred for personal security. Computer vision technologies are an essential sub-branch of artificial intelligence technologies. CV enables the analysis of objects and images.
This blog article will cover the following topics:
- What is Computer Vision
- How Computer Vision Works
- Top 10 Computer Vision Start-Ups
If you are looking for a platform managed by expert teams in the field of computer vision, now is the time to try the AI-based Cameralyze no-code platform.
What is Computer Vision?
Computer vision is a sub-branch of artificial intelligence technologies. These technologies aim to make computers see like humans.
Since the human visual system is highly complex and still not fully understood, computer vision technologies are a highly complex area of artificial intelligence. The technology is highly advanced and complex.
Computer vision technologies enable computers, i.e., artificial intelligence, to "see" visual data or, more precisely, to interpret, process, and analyze it. This visual data can be a photo, video, or live video from a surveillance camera.
Computer vision technologies often use deep learning algorithms, a sub-branch of machine learning. This allows computers to continuously learn and improve on their own.
Computer vision technologies first emerged in the 1960s. In those years, some algorithms were tried to produce algorithms that could only label what some objects in an image were.
How Does Computer Vision Work?
Computer vision algorithms usually work with "pattern recognition." These algorithms need vast amounts of data to work correctly. For example, if you want your algorithm to be able to recognize cats, you need to feed it a large number of photos of cats.
With this data, the algorithm puts similar objects in the same class, so it learns from patterns. These classes can be shaped entirely according to the data you train the algorithm on. For example, a human, a cat, a dog, a car, or a traffic light are examples of classes.
Algorithms see through "pixels." These pixels are simply the dots that make up a digital image, and each pixel is a number for the algorithm. The algorithm assigns these numbers based on texture, light continuity, color, etc. This is how it perceives images.
If you would like to learn more about computer vision technologies and how they work, we recommend you take a look at the following blog posts.
- What is Computer Vision? - An Explanation With Examples
- Computer Vision Solutions: Enterprise AI Applications In Six Industries
- Top 5 Computer Vision Platforms
Top 10 Computer Vision Start-Ups
Computer vision technologies represent significant advances needed in many different industries. These technologies are required in many areas, from healthcare to security, mobility to occupational safety.
As such, the number of start-ups providing services in the field of computer vision is increasing. In this section of our article, you can find the ten most successful start-ups in the field of computer vision.
NAUTO is a computer vision start-up that will change the future of driving. The platform aims to provide a safer driving experience for everyone. Their artificial intelligence algorithm prevents accidents by analyzing many different factors, such as driver movements and road and vehicle movement, in real-time.
Over 400 brands are already using the platform, and NAUTO is growing quickly.
Tractable is an exciting and helpful computer vision platform. The start-up analyzes photographs of the area after a natural disaster or catastrophe and calculates the resulting property damage.
In this way, it performs a photo-based loss analysis. Tractable can also be used for more common and frequent disasters such as traffic accidents.
3. Orbital Insight
Orbital Insight is a computer vision start-up that analyzes geography. The start-up uses data such as satellites, balloons, or mobile location information to create geographical analyses. The start-up is quite advanced. It works with big brands around the world.
For more information on how satellite imagery is used for geographic analysis and mapping, check out the blog post below.
Another computer vision start-up is Verkada. Verkada de-traditionalizes surveillance video and enables tighter security measures. Using artificial intelligence solutions prevents outside access to camera data. It also offers a high security service with motion analysis, human detection, and face recognition functions.
5. Hawk-Eye Innovations
Hawk-Eye Innovations is another interesting computer vision start-up. The program combines artificial intelligence and sports. It analyzes the decisions made by athletes in real-time, that is, athletes' movements. The program is compelling in motion analysis and will revolutionize the future of sports.
6. Shield AI
Shield AI is a bit different from the other computer vision start-ups on our list. Shield AI is a start-up that serves purely military purposes. Their system can serve military pilots or vehicle users in conditions where communication is not possible. It also supports military personnel in performing difficult maneuvers. Shield AI aims to protect military personnel from external threats.
Founded in 2010 in New York, Radar combines computer vision with radio frequency analysis. In this respect, Radar is a very rare start-up. Radar is critical in logistics, warehousing, and retail. The system detects and tracks inventory in real-time. Thus, it identifies empty shelves and provides statistics on the most preferred or least preferred products.
8. Athena Security
Founded in 2018 in Texas, Athena Security offers a highly advanced security system. The start-up supplements computer vision with heat detection and thus provides crucial security measures such as weapon detection. The company can also measure people's body temperature, which the company developed during the COVID era, and can measure people's body temperature through a security camera, with or without a mask.
It is possible to say that they use a very advanced computer vision system.
Another interesting computer vision start-up on our list is Pearl. Pearl is an application used by dentists. The app can detect deterioration, bone loss, decay, and/or other structural problems in patients' mouths from X-rays and scans, and it can also send real-time alerts. We can say that Pearl dramatically facilitates the work of dentists.
Cameralyze is a no-code computer vision platform. The platform differs from the other start-ups on our list in one feature. Cameralyze has not just one function but multiple functions, and it offers many solutions based on computer vision. We can take a look at the features of the platform.
First of all, Cameralyze has a straightforward interface. No technical knowledge or background is expected from the user to use the platform. The platform is drag-and-drop, so it is very comfortable and useful.
Cameralyze offers multiple computer vision solutions for your business or personal security and makes it easy to access them. Among the solutions the platform offers:
- Object Detection
- Human Detection
- Face Detection
- Face Recognition
- Emotion Recognition
- There are many solutions Cameralyze also offers other products, such as Cameralyze Edge and Cameralyze API, which are also used in artificial intelligence technologies.
Computer vision technologies are a crucial part of the present and future world. Although these technologies will slowly integrate into our daily lives, their rapid adoption in business life is vital for the survival of your business.
With Cameralyze, it can benefit from computer vision solutions without needing extra staff or technical knowledge. Start using Cameralyze now!