Discover the potential of Computer Vision over various Industries.
Artificial Intelligence & computer vision technology is transforming the capability of a business to understand deeper, the content of digital images and videos. It is enabling machines to accurately identify and classify images based on deep learning capabilities. Explore how computer vision is now changing the future of various industries in the economy.
What is Computer Vision?
One of the most spellbinding types of AI is computer vision, that is associated with the science of making computers or machines visually enabled, which helps depict the capability of a machine to analyze visual information and afterwards settle on decisions about it is referred to as computer vision.
According to Prof. Fei-Fei Li, a Standford computer science expert says computer vision is defined as “a subset of mainstream artificial intelligence that deals with the science of making computers or machines visually enabled, i.e., they can analyze and understand an image.
Many of these methods are now widely being used across various industries, resulting in overall effectiveness and better utilization of time.
Artificial Intelligence, Computer Vision & the Industries
Computer Vision and its applications across various industries
With the widespread of AI applications, along with computer vision, AI is now benefitting various industries:
Manufacturing requires maximum precision to maintain process control and remain competitive in the global market. Computer vision technologies in manufacturing units are very useful and they have unprecedented benefits to the business, like:
Predictive Asset Maintenance: Computer vision seeks to automate tasks that the human visual system can do, resulting in overall effectiveness and saving time. Computer vision and AI techniques help in Real-Time Anomaly Detection and providing a path to take corrective action. Industries like automotive, pharmacy, textile, energy, etc. are using computer vision technologies to run their processes free from defects.
Identifying Defects: Inspection for the defects in the industrial setup can be very risky, tedious, costly and time-consuming, and sometimes it is next to impossible to detect any defects in the machines manually. Computer vision technologies in such cases help in eliminating risks for the workers and works precisely to identify cracks, corrosion, leaks and other anomalies in the machines. Industries like automotive, pharmacy, textile, energy, etc. are using computer vision technologies to run their processes free from defects.
A leading food, snack and beverage MNC had a reactive quality monitoring technique at a PET bottling manufacturing plant being labour-intensive and injuring huge costs Algo8's data scientists used the SSIM Index used to identify & detect anomalies and collection of data to
develop a method to implement real-time corrective action. Learn how.
The research of computer vision, imaging processing, and pattern recognition has made substantial progress during the past several decades. Also, medical imaging has attracted increasing attention in recent years due to its vital component in healthcare applications.
For example, Gauss Surgical is producing a real-time blood monitor that solves the problem of inaccurate blood loss measurement during injuries and surgeries. The monitor comes with a simple app that uses an algorithm that analyses pictures of surgical sponges to accurately predict how much blood was lost during surgery. This technology can save around $10 billion in unnecessary blood transfusions every year.
Right from the assembly line and vehicle manufacturing process to vehicles on streets, computer vision is proving its acceptance and presence by making driving safer every day.
Some Applications of AI and. Computer Vision in the automotive industry are:
Keeping a tab on passenger activities
Accident/Incident scene re-building
Autonomous driving and ADAS
Accident/Incident scene re-building
Safe Driving and Assisted Parking.
Some of the most famous applications of computer vision has been done by Tesla with their Autopilot function. The automaker launched its driver-assistance system back in 2014 with only a few features, such as lane centring and self-parking, but it’s set to accomplish fully self-driving cars sometime in 2018.
AUTOMATIC NUMBER PLATE RECOGNITION
Automatic number plate recognition, using image processing techniques, is providing new ways to capture and store data, Such systems could play an important role in automatic toll collection. The requirement is to develop a practical system able to work under a variety of number plate geometries, sizes, and different fonts. The target of this research is to use neural network techniques to recognize characters in a number plate, so as to achieve an acceptable level of accuracy. In order to depend on such systems to replace the conventional traffic data collection methods, their accuracy level must match conventional methods. An advantage of using automatic systems is that it does not depend on human factors and it can work under difficult circumstances.
Another advancement in this technology is being able to detect and track objects according to vehicle type and speed, this has also made the basis of self-driving cars, which is now a reality.
SECURITY AND SURVEILLANCE
One of the early adopters of computer vision technologies is the security and surveillance industry. It is computer vision, which has exponentially improved the techniques and precision in video surveillance and intelligent video analytics. The volume of data generated by video surveillance systems depends on the number and types of video cameras and their resolution for specific projects. The huge amount of video feeds is of no use unless some critical information can be generated. Computer vision has made this possible with the use of AI and ML in video analytics.
Smoke sensors and corresponding water pumps are a part of the automated fire protection mechanism from the past few decades. But there are still gaps in the indoor environment fire sensors which tend to sound alarmed only when the fire or smoke touches the sensor. A fire detector created with the help of computer vision, does not only detect a fire but also helps eliminate false alarms and improves the safety of the surrounding.
Here is a short video of how computer vision detects fire.
HUMAN MOTION RECOGNITION - Vision-based human motion recognition has drawn the attention of many researchers due to its vast range of applications. The applications range from simple gesture recognition to complicated behaviour understanding in the surveillance system. This has lead to a major development in the techniques related to human motion representation and recognition. Gesture and Posture Recognition and Analysis for a more advanced natural interface with computers and computerised systems have already shown. promising advancements in the gaming industry as we all know, these systems are now being used for detection of abnormal behaviour at shopping malls and even The medical field has started to use human motion recognition for the study and analysis of Orthopaedics, Neurology, Musculoskeletal disorders, body posture, and fitness..
TRANSPORTATION AND LOGISTICS
Artificial intelligence is taking up the pace when it comes to global logistics and supply chain management. As per a number of executives from the transportation industry, these fields are expected to go through a more significant transformation. AI offers contextual intelligence which helps in providing actionable and useable insights to take effective action which helps companies improve efficiency, Companies make use of AI along with machine learning to get new insights into different areas which include warehouse management, logistics and supply chain management. Some of the technologies used in these areas are AI-powered Visual Inspection to identify damage and carry out needed correction by taking photos of the cargo by using special cameras and Intelligent Robotic Sorting to sort palletized shipments, parcels and letters.
As the potential of Artificial Intelligence is becoming more promising, Vision-Based Analytical Solutions are the future for various industries, AI with its applications ranging from a variety of industries to day-to-day activities, and its applications are bound to increase in size and impact, making lives of people easier and convenient