Hire Computer Vision Developers

Computer Vision is a highly advanced interdisciplinary scientific technology. Through Computer Vision, devices can see images and videos and then infer data from them. This data can be in the form of distances, angles, facial recognition, wildlife recognition, patterns, and much more. Computer Vision understands and interprets the visual world. Computer Vision aims to see and understand data as the human brain does. It aims for computers to acquire the interpretation, analyzing, and recognition power of the human brain and more. It is an advancing field of technology with constant new developments surfacing each day. Computer Vision can be used in defense, monitoring, manufacturing, medicine, solid-state physics, neurobiology, signal processing, robotic navigation, statistics, geometry, fashion, e-commerce, patent search, inventory management, and many more fields. Computer Vision uses deep learning and artificial intelligence to train itself for identifying patterns in hundreds and thousands of images.

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Computer Vision is a newly emerging technology that has just started taking its roots in the world. That is why the problems faced by Computer Vision developers are numerous. Being an emerging field, not much research and development has taken place. Scientists, engineers, and developers are required to put this technology on the fast track of growth. The main challenges faced by Computer Vision developers are noisy data, incomplete data, limited resources, and real-time processing. The data acquisition through Computer Vision is in the primary stages of development; hence, the acquired data is sometimes noisy or incomplete. Real-time processing of the data has been a major difficulty for Computer Vision developers. Theoretically, it all seems possible, but there are too many variables that affect the results when it comes to the real world. In addition, the present technology has a long way to go for the advanced level of Computer Vision development.

Important features of Computer Vision

Computer Vision is an evolving technology. Computer Vision developers are constantly training machines to be compatible with Computer Vision. This training must be very thorough and precise. To make a machine acquire Computer Vision, it is to be trained through the important components of the technology. There are three important components in which machines are trained to develop Computer Vision. After mastering these three components’ machines can reflect the ability of humans to make conclusions through visual understanding. These three components necessary for developing Computer Vision are

1. Image Acquisition

Image acquisition is the process of acquiring data from the source. The source here can be images or videos. The images and videos are collected through different devices such as webcams, embedded cameras, digital compact cameras, DSLR, consumer 3D cameras, laser range finders, etc. The data acquired from these sources is sometimes post-processed to help the computers effectively and efficiently read data in them. The computer captures visual data from the source and converts it into binary data.

2. Image Processing

Image processing is the process of applying algorithms to the binary data obtained in Image acquisition to infer low-level information. This information is interpreted in the form of basic geometry elements such as image edges, segments, point features, etc. The advanced applied mathematics used in image processing uses edge detection, classification, segmentation, and feature detection and matching algorithms.

3. Image analysis and understanding

In image analysis and understanding, computers use the binary data obtained in image acquisition and low-level information deduced in image processing to obtain high-level information. The use of high-level algorithms is done to obtain complete information. Some of the examples of image analysis are object recognition, object tracking, and 3D scene mapping.

Roles, responsibilities, and skills of a Computer Vision developer

• To have knowledge about the basics of the DIP
• To have computer vision knowledge
• To know programming languages such as C++, Python
• To use CV tools such as OpenCV
• To be familiar with the deep learning framework with TensorFlow, Keras, PyTorch, etc.
• To understand linear algebra
• To do in-depth research
• To solve real-world problems
• To analyze large data sets
• To implement machine learning primitives
• To work closely with other sectors such as data science
• To understand machine learning and segmentation
• To have strong knowledge of image recognition
• To meet customer requirements
• To deploy developed computer vision models
• To understand about depth and breadth of deep learning algorithms
• To do to understand segmentation and object detection and tracking completely
• To completely understand segmentation and semantics
• To have excellent written and verbal communication skills
• To have proficient knowledge of using Raspberry Pi
• To work with IoT technologies

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Skuad can help you hire certified and experienced Computer Vision Developers from all over the world based on your hiring requirements, be it freelance, full-time, or contract.

Salary structure

The demand for Computer Vision developers is extremely high in the market at present. It is estimated that the total Computer Vision market will rise from its revenue of US $10.9 billion in 2019 to US $17.4 billion by 2024. According to indeed.com, the salaries of Computer Vision developers vary according to their location. Some countries offer excellent packages while others might not offer so much.

The demand for Computer Vision developers is exceedingly high in some countries. In India, the average annual salary of a Computer Vision developer is US $13,680.45 (₹ 10,15,240) and an hourly rate of US $4.50 (₹ 334). While in the United States, it lies in the range of US $87,803 to US $114,594. In the United Kingdom, Computer Vision developers are offered US $59,057.79 (£ 42,500).

Freelancing and Contractual Basis Work

Multiple industries are looking for Computer Vision developers across many countries. Freelancing gigs are also available to Computer Vision developers. Contractual working is better than full-time working opportunities in terms of compensation. For those who are not looking for a stable job, freelancing and contractual working are the way to move ahead. Individual start-ups, companies, individuals, researchers offer freelance or contractual work to Computer Vision developers. Freelancing allows you to work at your own convenience. You have the authority, and you get to decide your working hours. You do not need to follow any third-party schedule if you are submitting your work to clients in the expected time.

Computer Vision Certification

Computer Vision development is a very promising career. The market research by various companies has given solid proof for the widening of Computer Vision development. This will lead to a rise in market demands for Computer Vision developers. Hence, it is advised to get yourself certified in Computer Vision. There are several Computer Vision certification courses available online as well as offline. Aspiring professionals can choose many certification courses for Computer Vision developers.

Some of these courses are titled as such – Deep Learning, Computer Vision Basics, Basics in computer vision, Advanced Computer Vision with Tensor Flow, Tensor Flow: Advanced Techniques, Advanced Machine Learning, DeepLearning.AI Tensor Flow Developer, Tracking Objects in Video with Particle Filters, Deep Learning in Computer Vision, Real-time OCR, and Text Detection with Tensor Flow, OpenCV and Tesseract and many more. Some of these courses are for beginners, while some are for more advanced learners. Cloudxlab.com offers a dedicated certificate course on Computer Vision. This course gives hands-on experience by working on more than a dozen projects in the course duration. The typical duration for a certification course in Computer Vision is 2 to 8 months. It is an astute investment that will lead to a promising future.

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