Today machine intelligence is at levels that were once only thought possible in sci-fi movies. While artificial intelligence and machine learning are exploding in mainstream applications, other technologies too are now evolving into their next generation. One of the most promising entities in this space is computer vision.
It is expected that the market for computer vision technology will be close to USD 50.97 billion by 2030. By enabling machines to recognize, process, and engage with visual data, tremendous new possibilities could be unleashed. In fact, industries like manufacturing, automobiles, and retail have already successfully deployed computer vision-aided solutions to help power their operations. The next wave could come in some other, potentially unusual, sectors.
Computer vision is moving to new territories
As we progress into a world where digital experiences are likely to be far more dominant than in the past, computer vision is also evolving in many fresh new ways.
Let us explore the top 4 new sectors that are finding uses for computer vision:
Healthcare
Diagnosing the right illness or medical condition is one of the most critical enablers of success in healthcare. Doctors rely on medical imaging reports for a closer look into the human body to uncover suspicious conditions or anomalies. Medical imaging is one area where visual data holds so many promising insights when they can be explored in depth. This kind of exploratory approach can be augmented well by computer vision, especially those that are paired with artificial intelligence.
Computer vision can help in analyzing deeper and more granular elements in medical images or visual streams from devices used to probe deeper and in greater detail. This approach promises to detect suspicious occurrences faster and more accurately than the human eye. With integrated AI capabilities, it is possible for computer vision-powered medical image processing to quickly compare visual data with millions of historic visual data archives. This allows doctors to quickly narrow down on probable causes of medical conditions, improving diagnosis accuracy and speed.
Agriculture
Today, the agriculture sector is on the verge of embracing smart farming as a mainstay. The use of technology in all aspects from understanding weather environments to autonomous operation of watering and fertilizer disbursal systems, is becoming very common. Computer vision can play a central role in enabling smart farming techniques in this sector. Both farmers, as well as agritech companies, can leverage the power of visual analytics to deliver more precise farming interventions for crops and ensure optimal health of the produce.
For example, video streams from the field can be processed to discover any abnormalities like shunted growth of crops, discoloration, poor budding, etc. Computer vision can enable the continuous monitoring of crops to alert caretakers on the condition of crops before they are damaged beyond recovery. In addition to mounted cameras on the field, large farmlands spread across hundreds or thousands of acres of land can be monitored autonomously with drones powered by computer vision. The spectral index of soil can be captured from the texture of the soil, plant height, etc. Computer vision can easily extract accurate insights for such observations from live video feeds or image streams.
Smart city management
Today, cities are on the verge of transforming into smarter abodes to accommodate the citizens of tomorrow. By adopting digital experiences in all areas of city management, authorities can help create a safer, cleaner, greener, and more organized community in all areas of the city for people to work, live, and relax. A great part of this process of building smart cities is dependent on the ability of respective authorities to continuously monitor conditions like security, traffic, and other dynamic citizen behavior.
Computer vision can be a great asset for city corporations to build a 24/7 monitored and organized ecosystem. Detecting ensuing or impending traffic chaos and taking measures to solve it through intelligent diversions is an example. Other key examples include monitoring crimes, quickly alerting cleaning staff in the event of any detected waste accumulation, law enforcement or healthcare teams for emergencies, etc. Furthermore, futuristic public transport mechanisms can leverage computer vision to propel autonomous people’s movement in driver-free buses, trams, metro trains, etc.
Cyber forensics
With AI becoming mainstream, there are rising concerns of fake AI-generated content becoming a challenge. Deep fake technology is building remarkably convincing fake imagery or video clips that can be leveraged for profit as well as malice. Law enforcement needs innovative ways to combat this threat and help people maintain their privacy.
This is where computer vision can prove to be an asset. AI-enabled computer vision technology can reverse engineer such fake content and identify the authenticity of such media. This helps in uncovering scams, preventing chaos in public issues due to fake visuals, and safeguarding the privacy of sensitive people.
The future of computer vision
Computer vision is being embraced in many sectors. While we have covered some of the top ones, there are others where CV is making an impact, like traditional retail, manufacturing, automotive, etc. Furthermore, industries like space exploration, environmental and geographical science, archaeology, etc. can all leverage visual analytics as a powerful tool to uncover new possibilities.
For organizations, getting ahead with the use of computer vision is possible when they can unify different visual data streams in one place and use intelligent analysis with technologies like AI. A critical need here is the use of platforms like KamerAI to bring together a range of enterprise solutions that collate insights from visual data captured across operational landscapes.
Get in touch with us to know more about how KamerAI can help your business experience the power of visual analytics and make visual data reap benefits for your growth.
