CodeNinja provides consultancy and development of modern image analysis software for your business. Our customized solutions for diverse industries allow businesses and institutions to carry out effective research, analysis and diagnosis. CodeNinja’s versatile software is capable of detecting fundamental components in an image and extracting required information with powerful algorithms.
We develop a range of Image Analysis software using both the rule-based approach for small projects and machine learning for large data requirements. Our software services incorporate the latest frameworks and automated processes that allow efficient execution for obtaining desired results.
With more than 10 years in the IT industry and deep expertise in Machine Learning, CodeNinja is a go-to company for your next Image Analysis Project. We have experience in developing IA products for multiple industries, hence facing multiple challenges and offering solutions. Our 100% job success rate speaks of the wonders we create!
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Gather product requirements and understand the objectives, workflows, and backgrounds.
Creating a product strategy roadmap to achieve your goals and highlighting new opportunities.
Plan the product delivery by estimating the costs, resources and timelines.
Designs are presented as prototypes, MVPs or other interactive models.
leveraging powerful algorithms and frameworks with close monitoring to build the perfect product.
Providing licenses and training to concerned departments with 24/7 product support.
Image Analysis is not only a complex task but also requires in-depth knowledge of machine learning to create a viable and reasonable product. Always entrust a complicated project like IA to a well-trusted company. With CodeNinja you get:
We focus our software development services in diverse sectors where we have wide-ranging experience and exclusive industry knowledge.
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Image analysis is used for grading, sorting and counting material or products on a production line. It is highly effective as it uses optical recognition to classify and separate damaged products.
Although image analysis is becoming common for the masses and is being used vastly in industries, it is still costly due to the complexity and dynamic nature.
Machine learning is a sub group of AI. While AI is considered to be the computer’s ability to think like a human, Machine learning is an application of AI that uses tools and methods to teach the computer without direct instructions.
Perhaps the medical industry is the biggest user of Image Analysis products. IA is used to construct models and diagnose various diseases. It is also used to read critical and complex scans like MRI, CT scan etc.
An IA software is able to detect, recognize and identify objects in an image by breaking it down into individual subject matter. It analyzes the image to separate the objects like people from backgrounds and then classify them accordingly.
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