Have you ever created Computer Vision Projects but were unable to convert them into a commercial product?
Are you tired of chasing Package Versions that are compatible with your project?
Have you ever built an amazing Computer Vision Python App but lacked its Graphical Interface?
Well, we bring you the world's first Computer Vision Web Development course, that will take you from the very basics right up till you are comfortable enough in creating your own web apps.
- You will learn how to use the latest tools and techniques to capture, process, and interpret visual data.
- The course will also cover the principles of good design and user experience so that you can create apps that are not only functional but also user-friendly.
- By the end of the course, you will have the skills and knowledge to develop your own computer vision applications on the web.
What can you do on the Web?
Pretty Much Everything!!!
That’s right. Whether it’s Custom Object Detection or simple Color Detection now you can do almost everything on the web. This was not possible a few years back, but now with the rapid development of computer vision algorithms, they have become efficient and light enough to run on a browser.
Because computer vision web development combines aspects of both web development and computer vision, it can be difficult to know where to start. But don’t worry we have you covered. We have designed this amazing web development course that will take you from the very start and bring you up to speed with the latest technologies that make CV Web possible.
What will you Learn?
Why This Course ?
This course is perfect for hobbyists, educators, freelancers, and software companies who want to add this cutting-edge technology to their toolkits. You will learn how to develop algorithms that can automatically detect and track objects, identify faces, and even read text. This course is also a great way to learn about the latest advances in computer vision and how to apply them to your own projects.
As fulfilling as developing a good profession in web development is, there are other things in the world. This is your chance to succeed if you have a strong desire to work as a freelance web developer. Computer vision is one of the emerging trends in the field of AI and once you master this field, there’s no going back. This course is all that you need because it perfectly covers all the aspects of computer vision and web development. Our course would be the foundation of your growing career in computer vision web development. Combine your existing knowledge with our course content and start creating your own computer vision websites.
While working from home, you can work for a variety of clients from other countries. You may be familiar that websites like Upwork, Fiverr, and Freelancer offer you such options. However, there are many more opportunities available to you if you can establish your brand, including reaching out to direct clients and acquiring customers.
Which Web Apps will we Build?
Learn how to measure body size through a regular webcam and turn it into a smart web app that will determine the user’s shirt size. With online shopping at an exponential rise, this is a perfect project to offer to small and medium size companies.
Object Detection is at the heart of all Computer Vision Algorithms since it’s so useful and directly implementable in real-world applications. By learning how to detect objects using a web browser you can find specific objects in an image, track objects in a video, or detect objects in a 3D scene.
Learn how to create an automatic attendance web app by capturing and recognizing the faces of students in the classroom or employees in the office.
The computer vision retail traffic counter is a great way to keep track of customer traffic in your store. By tracking the number of customers who enter and exit your store, you can get a better idea of how busy your store is at different times of the day.
Learn to create your own Custom Object Detector
Learn how to create a custom object detector offline using your own data and how to run its inference on the web. This opens up endless possibilities that can be embedded in various real-world examples.
If a customer is considering buying a product online but is unsure about whether it will look good on them, they could use augmented glasses to see a virtual simulation of which product would look good on them. The increased accessibility and convenience that augmented glasses provide could lead to more customers making purchase decisions in favor of online retailers.
With the extreme increase in traffic, there’s a demand for car counter trackers in the market as it is a great way to keep track of how many cars are in a certain area. It can be used to count the number of cars in a parking lot, on a street, or in a garage.
It can allow businesses to track and analyze customer behavior. This information can be used to improve the customer experience by providing personalized recommendations and targeted promotions. Additionally, engaging content can encourage customer retention, which can help build brand loyalty.
Learn how to accurately identify license plates from different angles and lighting conditions. With all of this running on the cloud, it can be easily added to an existing security gate.
The computer vision augmented reality system can be used to improve the user’s experience in a variety of applications, including gaming, navigation, and education.
Extracting and identifying text to identify from the ID card or passport is useful and a huge time saver. You can find relevant information in a large document real quickly.
AMAZING APPS WE WILL BUILD
Object classifier identifies objects in digital images. The benefits include the ability to automate object identification, improve object detection accuracy, and reduce processing time. This can be used in a variety of settings, such as security, retail, or even personal use.
The computer vision PPE detection system can identify personal protective equipment such as safety glasses, hard hats, and respirators. It can also track the location of PPE in the workplace and alert employees if they are not wearing the proper PPE for the task at hand.
The computer vision pistol detection system can identify and track pistols in real-time. This system is designed to help law enforcement and security personnel prevent gun violence.
It can quickly and accurately detect whether a person is wearing a mask. The system can also keep track of how many people are wearing masks and not wearing masks, to help with compliance efforts in this outbreak of a global pandemic. Optical character recognition can help in reading the text on the document by using web-based applications and this can result in automating the process of data entry or creating text-based searchable databases of images.
Virtual drag and drop can be used to interact with computer vision applications in a more natural way. It can help freelancers quickly and easily create prototypes of their designs. This can be extremely helpful in getting feedback from clients or other designers before moving on to the next stage of development.
Computer vision digit classification can be used to automatically recognize and classify digits from images. Digit classification can be used to improve the accuracy of digit recognition. This also reduces the time needed for digit recognition.
The computer vision face detection system can identify faces in digital images with great accuracy. It can be used in a variety of settings, including security and surveillance. This can help in improving the safety and security of people and organizations.
The camera system detects an object that is moving in an unexpected way. It can be used to detect and track people or objects that are entering a restricted area. This information can be used to alert security personnel or take appropriate action to prevent intrusion.
WHO WE ARE?
NEVER ENDING POSSIBILITES WITH COMPUTER VISION
The system is based on a deep learning model that can accurately identify hands in images and videos. The system can be used for a variety of applications, including monitoring hand gestures and detecting sign language.
The computer vision drowsiness detection system monitors the driver for signs of drowsiness. If the system detects signs of drowsiness, it will alert the driver and recommend a break.
The computer vision virtual gym provides a great way to stay in shape and improve your vision. It is a great way to save time and money while still getting the benefits of a workout.
Computer vision face expression detection can help us to identify the facial expressions of people in digital images and video. It can be used in many applications such as human-computer interaction, security and surveillance, biometrics, and so on.
Automated grading of computer vision MCQs can help speed up the grading process. It can help to improve the accuracy of grading. Automated grading can help to reduce the workload of teachers.
Computer vision body pose detection can help us to capture the image of the object in the image more accurately. It can track the movement of people in a space, generate 3D models of people, or recognize specific gestures.
It can help you to quickly and easily identify people in a crowd. Additionally, face mesh detectors can also be used to track people’s movements, and to monitor security cameras. The detector is able to work in real-time, meaning it can process video footage of people in real-time.
The computer vision virtual painter is a great way to add some color to your photos. Virtual painters can help you to create some amazing works of art.
The blink counter can detect when a person is blinking and counting the number of blinks also helps study blinking patterns and habits. This can be used to help people with conditions that cause excessive blinking.
Looking at the average salaries of these two field sets can make you excited. Now, imagine the salary of these two highly in-demand skills when combined. Computer Vision and Web development when put together, it becomes an unmatchable skill. And, despite the growth of this job industry, salaries continue to increase. Web development combined with computer vision is a highly specialized field and the average salary isn’t the end of the story.
BE PROUD GRADUATES AND SHOW YOUR SKILLS ON YOUR CV
We are extremely proud of each and every individual who successfully completes one of our courses. You will receive a certificate after finishing this course from CV Zone. You can promote it on your social media platforms and use it as a foundation for your job as well as further education in the area of computer vision.
Do I need to be an expert to take this course?
A Big No No. We are going to start from the basics and like any other programming language you just need to know the concepts of programming not the syntax to get started. Even though the concepts will be advance we will cover them in simple and beginner friendly method.
The base salary for Computer Vision Engineer ranges from $87,194 to $113,804 with the average base salary of
What people say about us?
Hi, this is Murtaza Hassan, founder of the Youtube channel “Murtaza’s Workshop- Robotics and AI“. I the past few years I have created over 150 free tutorials and taught over 1 Million students in the field of Computer Vision. I believe in learning by example, not solving made up weird questions in a book. That is why I use step by step programming tutorials that start from scratch till the finalization of the project.
If you would like to learn how to create computer vision games, then this is the course for you. Here we will start with the basics and then build up to exciting games.
Yes, all the videos and coding files will be available for you for lifetime after the purchase.
If you would like to get started with creating computer vision games, then the Basic Version is for you. If you would like to take a step further and create more advanced games and deploy them to stand alone Windows and Mac applications, then the Advanced course is the right option.
After purchasing the course you will get access to all the video tutorials along with the coding files and the resources, through our website.
No, but we do expect that you have basic understanding of OpenCV and Computer Vision. If you are new to the field of Computer Vision then we recommend that you take our free “OpenCV in 3 Hours” Course.
Yes, of course. The first Chapter of the “Basic Course” will be available as a demo on YouTube. But this will be available when all course versions are launched, and at that time the course price would be full amount, as the preorder time period will finish.
No, all the libraries and the softwares used in this course are free.
- Python Basics
- OpenCV Basics
If you have any more quires, Please contact us at email@example.com, and will get back to you as soon as possible.
CV - PACKAGES
HTML + CSS + JS
Everything in Basic
Everything in Advanced
Tensorflow Web Basics
Custom Object Detection
Everything in Expert
Cloth Size Measurement
THE LEGENDARY BUNDLE
LEGENDARY BUNDLE6 COURSES
Computer Vision Jetson Nano
Advancned Drone Programming
Computer Vision with Arduino (Complete)
Computer Vision Mobile Apps
Computer Vision Game Development (Complete)
Computer Vision Web (Complete)