Computer Vision Software Development Services
Looking for ways to optimise a repetitive, yet crucial task in your business? Our computer vision software development experts can help you understand and implement smart AI solutions that improve efficiency while maintaining accuracy.
Let’s talkCustomised computer vision software development solutions
Our AI experts build custom computer vision solutions and provide support throughout all stages of your development project.
How do our custom computer vision services work?
It all starts with you letting us know your preferred time to meet. Once that’s set, we can talk about your project idea and how we can be of service as a computer vision company. If we determine that we’re a good fit for each other, we continue on through the standard software development process.
Go Wombat computer vision services for different industries
The services we provide as a computer vision consulting and software development company have a wide array of applications in various sectors. Below are some areas we’ve carved out a niche in. However, we are always open to new ventures – our computer vision services can benefit almost any field.
Computer vision benefits and advantages
Partnering with an advanced computer vision software company brings benefits and advantages to different parts of your business.
Types of computer vision
Our experts can build different types of computer vision software to fulfil a variety of different tasks.
Image classifiers
Object detectors
Object trackers
Motion analysers
Scene rebuilders
Segmentation solutions
Action recognisers
Image restorers
Patterns detectors
Get custom computer vision solutions for your business
Whether you’re building a software product or an internal tool to support your existing business, vision computer solutions have immense potential.
We’ve built several platforms that feature this type of artificial intelligence and know just how much of a positive impact it can have on a business.
Interested in learning more about our computer vision service and what areas of your business it can improve? Contact our team today and we’ll set up a call to discuss your software needs with our experts.
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Our expertise in developing computer vision solutions
Quality control automation system
Cybord
Manufacturing, Artificial Intelligence/Machine Learning
February 2021 - Ongoing
Israel
🇮🇱Cybord is dedicated to removing counterfeit and defective components from production lines. Leveraging AI and big data, Cybord's technology identifies counterfeit, defective, and tampered components, including hardware-based cybersecurity threats. Defects are detected during component placement and before reflow, simplifying rework and enhancing product reliability. Integration with manufacturing execution systems ensures that nonconforming materials are quarantined and prevented from being used.
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Computer vision FAQs
Computer vision solutions have the advantage of identifying, classifying, and analysing visual information at a much faster rate and higher volume than a human is capable of. They can accurately pinpoint and categorise a range of features in images, such as objects and people, and then react to that information.
More specifically, it can be leveraged to detect and recognise such things as:
- Plant diseases in agriculture.
- Real vs. staged damage in auto insurance.
- Faces for security applications.
- Items for automatic checkout in retail stores.
We can categorise computer vision as follows:
- Object recognition
- Pattern recognition
- Edge detection (i.e. identifying the boundaries of objects within an image)
- Image classification
- Object tracking (i.e. following the movement of objects in a video or in images)
- Image segmentation (i.e. dividing an image into different regions based on visual characteristics)
In a word, yes. Python is broadly supported by computer vision libraries. And due to its readability and ease of use (among other aspects), Python is a popular choice for programming tasks related to computer vision.
Computer vision and machine learning are related fields. Machine learning algorithms such as deep learning and convolutional neural networks are utilised to process visual data and identify patterns in computer vision. Machine learning plays a vital role in training computer vision systems to be able to do what they do.
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