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Space-O provides excellent computer vision development services and stays ahead of the AI and ML software development curve by partnering with the biggest companies, such as Google, Microsoft, and Amazon.
Our developers’ expertise allows us to deliver extensive machine learning development services that include computer vision.
We provide a large volume of data for the training of computer vision solutions. Moreover, we offer data annotation and augmentation, and build synthetic datasets to make sure that the algorithms train only on the most optimized dataset for each use case.
We specialize in the design and development of AI models with popular and versatile GPU modules and frameworks, such as OpenCV and TensorFlow. Our focus is to create high-performance computer vision solutions that cater to your unique business challenges and requirements for maximum utility of the AI solution.
Do you already have a solution in place? Perhaps you want to upgrade/tweak your AI solution. We assess and optimize your computer vision technology to significantly improve its effectiveness and accuracy. Our goal is to ensure that the CV system meets all your requirements and expectations.
When your computer vision solution is ready, we design a custom strategy to seamlessly integrate it into your product. Additionally, we facilitate continuous integration/continuous delivery (CI/CD) pipelines and implement AutoML strategies to make sure the system is up-to-date with the current landscape.
Developing and integrating computer vision software can offer valuable insights that can help grow your business. Here are some advantages.
AI and ML systems can extract valuable insights from data. Computer vision software enables the system to extract even more information on account of getting more data from visual inputs such as images and videos. These insights help businesses make better-informed decisions for business growth.
Analyzing customer behavior with the help of computer vision solutions can help businesses enhance the customer journey. This leads to increased customer satisfaction, and in turn, increased customer loyalty and customer retention.
Computer vision enables businesses to use features such as facial recognition, anomaly detection, and AI-based video monitoring capabilities. Using such tools, businesses can effectively safeguard assets and personnel from malicious activities such as fraud attempts.
Computer vision enables AI and ML modules to track inventory stocks in real time and avoid potential overstocking or understocking for businesses. Optimizing your inventory using this technology can be a great way to maximize profits and make sure you have the right amount of stock at all times.
Keeping up with strict quality control regulations can be a tedious and resource-hungry task. On the other hand, manufacturing defects can lead to a decrease in the reputation and overall profits of a business. AI-based quality control through computer vision can mitigate both these problems in one go.
Speaking of resource-hungry tasks, automation is a surefire trick that businesses use these days to maximize profits. Computer vision comes in handy when you want to automate tasks such as image recognition, object tracking, and document processing. Moreover, it will help reduce human errors.
Spots and recognizes different objects, and labels them for accurate detection and classification of objects and images.
Accurately detects and identifies people’s faces for security and ID verification purposes. An essential tool for control access management to boost customer engagement.
Useful for security as well as pattern recognition by using event detection for motion detection and alert systems.
Useful for image-to-text applications as well as ID verification through documents. Moreover, we also incorporate Intelligent Character Recognition (ICR) for handwritten text and digital text in different fonts.
A key step in computer vision algorithms, image labeling helps computers identify and tag specific details in an image.
Object classification helps the computer vision software group objects based on their features to easily streamline and analyze data. Once the system can identify and classify an object, it can learn to track a moving object in a video.
Working with Space-O for our computer vision project has been a revolutionary step for our company. Our quality inspection process suffered from fewer errors and saw a rise in quality as well as efficiency since automating the process thanks to Space-O’s expertise in advanced visual recognition technology. The team at Space-O was highly collaborative and guided us through each step with regular updates and effective communication. We highly recommend Space-O for their expertise and cooperation in computer vision and AI projects.
Peter Buchanan
Quality Control Inspector
At Space-O, we are committed to helping businesses use the potential of artificial intelligence and algorithms for growth. Our industry-leading team of AI engineers, computer vision consultants, machine learning experts, and data scientists combine the power of AI with smart and scalable systems to bring you solutions that reshape your business processes.
Whether you want to automate redundant processes, enhance customer experience, or solve critical business problems, Space-O is a reliable destination for designing AI-powered computer vision solutions for every requirement. You can hire ML developers from our team to ensure expert handling of your AI and machine learning needs. Start your journey to make your business processes smarter, more efficient, and more lucrative.
Startup or enterprise, Space-O offers a fully custom model to fulfill the requirements of every business, so you can build your computer vision software conveniently and without any hassle.
Here’s what you will find in Space-O’s services arsenal:
Our hiring process allows you to choose the most suitable candidates from our pre-vetted team of skilled computer vision developers. This ensures you get optimal results from our computer vision software development team to bring your ideas to life successfully.
Get a custom pre-planned contract value depending on your requirements and leave the rest to us. Our fixed-cost model will include our AI and computer vision engineers assessing your needs and use case, and handling everything from start to finish of the project lifecycle.
Here, you will only have to pay for the resources we allocate and the services we provide to your project. This works best when you have a project that is already underway, or have a foundation to work on.
Enhance your existing AI and computer vision team and fill any skill gaps with Space-O. We have a team of talented and experienced developers who are ready to work on-site as well as off-site for maximum flexibility.
Yes, CV systems use AI to translate visual data to binary for computer systems to interpret and understand.
Python and C++ are the most common languages that developers use for computer vision. Developers generally develop CV systems on libraries and platforms such as OpenCV and TensorFlow.
Yes, CV includes Optical Character Recognition (OCR) as well as Intelligent Character Recognition (ICR). These capabilities allow computer vision tools to detect and understand written text from images and videos.
We allocate your project to a project manager who will provide periodic updates to you on the progress. We also offer real-time updates to our clients through tools like JIRA, Asana, Basecamp, and Trello.
The entire process from ideation to deployment of a typical computer vision solution can take between 2 to 4 months. However, several factors such as the size of the ML data library, architecture, broadness of use cases, and choice of algorithms can significantly affect the time frame.
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