Computer Vision Company: Changing Every Aspect of Life

Computer vision has transformed the ways in which machines help humans. The British Machine Vision Association and Society for Pattern Recognition (BMVA) defines computer vision as “the automatic extraction, analysis, and understanding of useful information from a single image or a sequence of images” which helps to achieve automatic visual understanding.

In the recent past, computer vision capabilities have advanced by leaps and bounds. Earlier, computer vision algorithms could just recognize shapes, strictly as defined by the programmer. In 60’s and 70’s, computer vision was used primarily by the police to identify license plates, or by intelligence agencies to identify faces. Later, it became a popular tool and has been used in several industries. An interesting use case was for pizza sorting – based on computer vision, misshaped pizzas were automatically picked out.

Computer vision has a tremendous influence on various markets

Broadly speaking, computer vision has two categories of applications – simple manipulations and higher class of processing or AI. For simple manipulations, using computer vision images are processed in a variety of ways e.g., stitched together, compensated for distortions, and shift object positions. Computer vision also works similar to machine learning (ML) and is considered as a branch of artificial intelligence (AI). It learns how to recognize complex shapes by going through a big number of examples. These learnable algorithms open up a new era for computer vision companies and major breakthroughs in advancing the technology are possible. This technology has advanced several markets such as augmented reality (AR)/virtual reality (VR), healthcare, driving systems.

Computer vision has a tremendous influence on growth in various markets. For instance, reports estimate that the driver assistance systems market will grow to $100B by 2022. Augmented and virtual reality market will show a staggering growth to $150B by 2022 and lastly, drone market will show a growth to $12B in 2021. Recently, several computer vision start-ups have had high profile acquisitions. A couple acquisitions that drew attention were $2B for Oculus by Facebook and $150M for Magic Pony by Twitter.

Computer vision has advanced due to deep learning algorithms. These algorithms enable a machine to learn data representations based on various images. For instance, for a machine, it was an enormous task to identify a cat image when the pictures were taken from left, right and top. Thanks to deep learning algorithms, now machines can identify cats irrespective of how they were photographed. A class of neural network structures “convolutional neural networks”(CNN) is extremely effective in image recognition. It splits an image in small regions and works on each region separately to identify features such as shape, color, sharpness etc. Then these features are merged into a number of meta-pictures or feature maps. Utilizing similar techniques as machine learning (ML), CNN succeeds in image recognition due to two key factors: sophisticated algorithms and rich training dataset.

Convolutional neural networks (CNN) are effective in image recognition

The applications and use cases of computer vision technology have been in many industries, including manufacturing and healthcare. To ensure quality control while manufacturing various goods, AI machine vision is routinely employed. For instance, car paint needs to be uniform in all areas. With computer vision, any defects in painting a car can be identified and corrected immediately. In biscuit manufacturing, computer vision assesses biscuit color and then feedback is sent to adjust the oven temperature so that all biscuits are sufficiently baked.

In the healthcare sector, computer vision assists in predictive diseases and automate diagnosis. For instance, a stroke caused due to hemorrhage can be fatal and early diagnosis is important. Based on a large dataset of images, a machine can be trained to identify images with brain hemorrhage. This enables paramedic (first responders) staff to stabilize the patient soon.

Computer vision company develops systems that can understand objects for a particular task

Computer vision is a great tool for automating business processes and to enhance product and customer experience. Many businesses are eager to adopt computer vision but do not have adequate resources in terms of skilled labor or budget. A collaboration with a computer vision company, such as BitRefine group, helps businesses in gaining computer vision capabilities. The role of a computer vision developing company is to develop systems that can understand objects for a particular task as defined by the client. The computer vision experts and client’s domain experts have to work closely in order to get results in a timely manner.

Machines that can think and that can see are becoming a reality. In future, computer vision will revolutionize several sectors such as healthcare, security, and manufacturing. It is critical that we keep pace with changing times and adopt computer vision in our businesses. To find out more about computer vision and its relevance to your business, email us at [email protected].