How does Computer Vision use Machine Learning?

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The Why

Since the 1950s, scientists and pioneers have been working tirelessly to implement inside the computers the ability to see and make sense of whatever they see to automate many of the tasks that require human vision. These efforts have led to the rapidly progressing field of computer vision. Experts aim to enable computers to derive valuable information from videos and images and process this in real-time. It is not surprising that computer vision uses machine learning, whereas AI uses algorithms to process what the computer sees. In this way, we can automate many tasks that require sight. But the question here is: How does computer vision use machine learning? 

 

The How

Many software have different capabilities through various algorithms that process images they receive through computer vision accordingly. These algorithms observe trends and patterns in data provided through images, enabling them to learn their required task. With computer processing speed being so fast today and optical devices being high definition and reliable, machine learning can be rapid and efficient when done dynamically and in real-time. This machine learning can involve image processing by AI that can manipulate and enhance images by identifying them through machine learning. This combination of computer vision and machine learning can be used in various devices such as drones, GPS systems, hospital equipment, and terrain mappers that analyze images and video, processing them according to their functions. Additionally, this combination can also automate many real-life processes, and businesses can be made efficient and cost-effective. These businesses can be from various fields such as Security Monitoring, Livestock Management, and Healthcare. 

 

Datalastic, a pioneer of computer vision

A real-time example can effectively illustrate the above-stated information. Take Datalastic, for instance, a state-of-the-art Maritime Intelligence and web service platform that provides real-time data about all sorts of nautical vessels, like cargo ships, fishing boats, etc. Their systems then use this data to provide valuable information to their clients to use that information to make critical decisions for their business. How do you think Datalastic manages to do this? They use AIS streaming systems that provide real-time data from onboard transponders to track any vessel, representing the ‘computer vision’ part. Their algorithms comb through this data and effectively provide valuable information to the clients that can help them in collision avoidance, navigation, cargo tracking, search and rescue, among many possible applications. These algorithms may process vessel locations to identify where there is congestion to change their routes or scan weather patterns so that vessels may avoid dangerous storms or treacherous waters. The AI does this by processing the real-time images provided by the transponders to identify any patterns and tag valuable data that represents the ‘machine learning’ part of their system. In this way, we can see how machine learning is a vital part of computer vision. 

 

Verificient, the future of computer vision

We here at Verificient Technologies use much of the same concept but go even more profound as it involves constant monitoring of intricate face patterns. Our systems implement live monitoring for our clients, and using computer vision; our AI continuously verifies their identity against a baseline profile. This enables maximum integrity for your online assessments, remote workplace, and quality in hiring, which involves high-quality skill filtering. This baseline is generated through biometric scans (Face, ID, and Knuckle) to ensure accurate computer vision. Our Proctortrack features allow us to constantly learn about students, enabling a more intelligent way of tracking students in skill assessment situations rather than simply policing them. Additionally, our RemoteDesk feature allows an automated monitoring solution that continually secures remote employees’ identities and provides a Clean Desk Environment that makes the workplace efficient and secure. This AI technology securely monitors working agents continuously, identifying and protecting their privacy. A compelling feature we include is the deletion of sensitive files if our AI detects any unauthorized personnel, which can help secure confidential files. This detective is done through sophisticated facial recognition software and system monitoring to identify deceit and misconduct, which empowers companies to obtain the perfect work environment. In this way, computer vision can use machine learning, and we here at Verificient Technologies make very effective use of it.