Computer Vision and Quotidien - Making Lives Better Every Day

Computer Vision and Quotidien - Making Lives Better Every Day

Can you imagine an era where Artificial Intelligence will be at par with Human Intelligence? Can you imagine computers visualizing this world as we humans see it?

We are close to a future where robots will recognize and understand things happening around them similar to how humans do.

Technology is rapidly advancing for good, intending to make human lives better. With such a breakneck speed, technology is going to revolutionize our lives. Soon, we’ll possess unbelievable power in our pockets. And this is possible with the major contribution of the advancements in the field of computer vision.

Now with the advent of Computer Vision, we are on the verge of automating tasks that human vision can do! But what is computer vision and how can it help mankind reach greater heights in future?

What is computer vision?

Computer Vision is the field of science that deals with understanding and automating computers to acquire high-level human intelligence and see the world as we see it. This is possible with the help of digital images and videos, which help the computer to detect or visualize an object.

Computer vision processes, analyses, and recognizes digital images and real-world data in the form of videos. It then uses this data come up with quantitative or symbolic information, like some sort of decision based upon pre-fed data.

Recognizing, here, can be interpreted as translating real-world images or videos, basically visual data, like how we input through the retina, into sensible descriptions to extract an appropriate action. We seek to recognize or untwine symbolic descriptions from real-world images by constructing models that apply modern scientific methods to do so.

This scientific discipline began in the late 1960s intending to empower robots to extract 3D structures from real-world images to achieve full scene understanding.

Today, Computer Vision seeks to devise theories and algorithms and apply them via models to construct systems that inputs image data in form of videos, the perspective of multiple cameras, or even multi-dimensional data from a 3D scanner to extract meaningful information and take actions based on that.

Computer vision applications

Computer vision has witnessed many applications in diverse and challenging fields ranging from assisting humans with their algorithms to sometimes outperform human beings. Nowadays, computer vision systems are making their way into human lives without even us knowing about it.

Be it applications in biology, in terms of medical diagnosis, in industry with production automation, or with recommender systems in marketing, computer vision is making inroads everywhere.

We’re going to discuss some awesome applications of Computer Vision that modern businesses are using to generate value for customers and make their lives easier.

1. Self-Driving Vehicles

Self-driving cars were considered a dream a few years ago, but they have arrived here. Being a futuristic concept, a lot of effort was made to develop fully autonomous self-driving cars. But with real-world roads, unpredictable human drivers, and a lot of complexities, all the endeavors failed.

Tesla, however, had a brilliant move where they focused on creating AI-assisted self-driving cars that need a human driver, instead of creating self-driving cars.

In a world where data is gold, Tesla managed to achieve data generation by capturing disagreements between the Human and the Autopilot. They were even successful in improving their models to carry out multitasking. This allowed the cars to know about the scene at once and get multiple outputs of a given input sequence of images.

2. Medical Imaging and Diagnosis

The field of medicine and medical diagnosis is the only industry where deep learning and computer vision systems have outperformed their human counterparts in terms of accurate medical diagnosis. The most important applications of computer vision lie in the early diagnosis of diseases, a stage where even lethal diseases are curable.

There have been many bottlenecks like long waiting times and diagnosis errors due to overworking of doctors and their shortages in some medical fields. These domain-specific shortages of doctors are being met by Medical Imaging Startups that make use of computer vision to solve them.

3. Visual Search

Did you ever face the difficulty of not coming up with a name in your head after you see a person or celebrity after a long time? Guess what computers also face this issue of recognizing faces. But the advancements in computer vision have made it possible to do a visual search, which is a search based on images instead of text.

With advanced computer vision algorithms, we can now search by detecting features difficult to express in words or which need complex filters to search. With strong and positive customer feedback, many online marketplaces and search tools are eager to adopt this technology as it could boost their revenue by 30%.

4. Computer vision in Industrial Quality Control

With its ability to differentiate between different characteristics of products that are highly in demand to ensure product quality, it’s very useful for Industrial Quality control. It could be used for object classification and product evaluation as it can sort materials according to their color, shape, or texture. This can help ensure that the best quality products are delivered to the consumers.

With human intervention, there are many factors in play like fatigue, delay, and irregularity which hamper modern-day manufacturing and quality control processes. With robust computer vision algorithms, machines can deliver a high consistent work capacity of sorting products according to their quality without any fatigue.

Organizations like Tooliqa and Viso AI are striving to enable businesses to minimize costs and attain efficiency with their computer vision-enabled products and software. There have been path-breaking changes in how industries like interior design and architecture can benefit from computer vision.

5. Workplace Safety

With an economic cost of $250 billion per year, workplace injuries are ever-increasing. But AI-enabled hazard detection systems use computer vision to detect whether all the safety regulations are properly followed or not.

These systems can lead to a decrease in workplace injuries in areas prone to a high level of onsite injuries as the systems work tirelessly without fatigue to ensure the safety of the workers.

With real-time 24/7 monitoring of safety procedures, thanks to computer vision systems, we can now easily detect if there are any safety-norm violations, flag them via notifications and generate safety scores. Especially, in these COVID times, these systems can detect whether people are following COVID-19 protocols like masking and social distancing or not.

With so many innovations in technology, it’s fascinating where we have progressed in such a short amount of time. And computer vision is just the first step towards a future where computers could see the world as we see it, and it is here sooner than we predicted.

With so many positive applications in medical diagnosis and Industrial safety, it’s evident that computer vision is developing to make human lives better and safer. And with more advancements in computer vision, AR aimmersive technology can come to life.

Also read: Transformative Applications of Computer Vision in Education | Insights - Tooliqa

Tooliqa specializes in AI, Computer Vision and Deep Technology to help businesses simplify and automate their processes with our strong team of experts across various domains.

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Quick queries for this insight

How is Computer Vision poised to achieve the level of human intelligence?
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The goal of computer vision is to replicate the ability of the human brain to recognize visual information. It trains machines on a lot of visual data using pattern recognition techniques. After processing the input photos, the machine or computer detects patterns in the items it has labelled and further makes automated decisions based on the data.

How is computer vision revolutionizing medical diagnosis and other bottlenecks in the health sector?
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Because of doctors' excessive workloads and staffing shortages in various medical specialties, there have been numerous bottlenecks, including lengthy wait periods and incorrect diagnoses. Medical Imaging Startups are using computer vision to address these industry-specific physician shortages. The most significant uses of computer vision are in the early diagnosis of illnesses, when even fatal conditions can be treated.

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