What are the Benefits of Using No Code Computer Vision AI Platform?

Growth of Computer Vision

Computer vision technologies have been around for a long time, but the recent advances in deep learning and the availability of high-quality training datasets are driving rapid growth.

The computer vision market is growing at a fast pace due to the high quality of training datasets, improved computer hardware and deep learning algorithms. A lot of companies are recognizing this opportunity and are willing to invest more funds to stay competitive in this market.

According to Verified Market Research, the Global AI in Computer Vision Market size was valued at USD 7.04 Billion in 2020 and is projected to reach USD 144.46 Billion by 2028, growing at a CAGR of 45.64% from 2021 to 2028.

However, challenges to developing and deploying these uses cases create a greater barrier. Below is a list of a few challenges that come in the way. There are many more challenges, we have tried to capture a few key ones.

CV- Development Challenges

In recent times, the machine learning and AI industry is experiencing an increased demand for the development of Computer Vision platforms. This is because the demand for these platforms is only expected to grow. Selecting the right AI models, data sets, automating the data sets etc.

One of the main challenges faced by AI experts is a lack of resources. There are very few people with domain expertise in this field and hence it becomes difficult for companies to find talent who can work on this project – especially at scale.

It also becomes hard for them if they want to keep up with ever-changing technology standards and advancements.

CV - Computation Challenges

Computer vision being applied to live video is a big challenge for developers. Computer Vision live video computation is hard because some requirements need to be met. The feed needs to be of a high enough quality, the frame rate needs to be fast enough and the camera needs to have enough bandwidth

One of the challenges in video processing is the ability to process and analyze video feeds quickly enough. The need is to process a lot of videos at the same time and make them work in real-time. The primary drawback is that computer vision algorithms cannot process video feeds rapidly enough. The next challenge is analyzing the frames coming from a camera and coming up with some relevant conclusions. These need to be taken care of while developing the platform.

CV- Resource Challenges

The research field in computer vision has flourished for years. But experts with AI expertise are still rare and not available in many contexts, leading to a gap between supply and demand.

It is common to see companies spending millions of dollars on recruitment only to get a handful of talents. Availability of resources is also a problem when it comes to researchers who want to teach themselves the skills required for computer vision but lack the necessary resources.

Since there are so few people with experience, it's rare for companies who feel the need for more people with skills in this area to be able to find them. This is what leads to high salaries being offered as well as incentives such as signing bonuses or relocation package offers.

CV- Scalability Challenges

Video feeds require more computing power to analyze and extract data from them. The challenge is to develop a scalable solution for managing large volumes of data. For instance, the challenges that come with gigabytes of video needs to be analyzed for tasks such as quality assurance (QA), content moderation, and artificial intelligence (AI) application development.

Some challenges that come with scaling computer vision are the size of the input image and the speed of computation required. If a computer can’t process images fast enough then it will take a long time before an answer is given. This is why it’s important to have algorithms that are highly parallelizable and only require minimal processing time

What is No-Code Computer Vision AI

Computer Vision No Code Ai is a new way of applying machine learning to video data. It is done through a process in which computer vision algorithms identify and analyze properties or events. Computer Vision No Code Ai benefits include understanding the environment, being able to detect obstacles, and being able to find people who are missing.

This type of AI is so powerful because it does not require any coding skills. The system can be configured through software interfaces that allow for a variety of different uses such as detecting cars on the street or in parking lots, Compliance, detecting behaviours, QA analysis, customer experience and monitoring wildlife populations etc

Computer vision is one of the major applications for AI today. AI computer vision enables cameras to automatically identify, classify and quantify objects in images. It can be used for a wide range of purposes, from analysis and quality control to surveillance and search assistance.

Some other benefits of No Code AI Computer Vision are:

1. It saves time which is otherwise wasted on manual processes by people.
2. Requires less human supervision as it works autonomously.
3. Helps coordinate complex network of cameras in the surveillance realm
4. Rapid test & trial of use cases on different targetted devices
5. Choose from the existing AI models save time on developing the use cases
6. Real-time video processing is very complex, it needs a very strong platform to process millions of videos in seconds

Deepsight AI Labs

We have developed this Deepsight No Code AI platform with 100,000 man-hours and have deployed 1000+ sites with 30+ use cases for customers across India, Spain, the UK, South Africa, Dubai etc. Deepsight have developed 8 different platforms in Computer Vision from Development to Deployment. We continue to grow and add more use cases for customers to utilize our No Code AI platform for various business needs namely

1. Operational Efficiency
2. Customer Experience
3. Safety and Security

Deepsight AI platform has deployed Computer Vision use cases across, Banking, Retail, Manufacturing, Telecom, Public Sector and Transportation. Having worked in various segment, today DeepSight team understands the challenges of these segment and provide the solution accordingly to various customers that can be scaled across the devices.

Know more about our latest achievement in 5G with Telefonica, Spain

https://www.5tonic.org/news-20210412-5tonic-laboratory-completes-pioneering-tight-integration-between-5g-sa-network-and-edge-platform/

More detials feel free to contact to experience the No Code AI Platform [email protected]