Image recognition software development services
Unicsoft provides custom image recognition software solutions for analyzing, detecting, and identifying objects from raw images of any quality.
Leverage the power of neural network algorithms to back up and improve object classification, image analysis, and diagnostics.
- Reduce the amount of repetitive and monotonous tasks
- Better, faster, and more accurate image recognition when compared to manual labor
- Slashed labor costs
- Valuable insights from visual data
What our clients say
What our clients say
Challenges of image recognition software development
In real apps, there could be images different from those used in training. There could be different viewing angles, camera properties, and object scales. The following data distribution gap can severely affect image recognition accuracy.
The cost of error recognition is high, especially for autonomous driving. Deep learning has demonstrated great success with large amounts of labeled data, but it is vulnerable to breaking down if there are only a few examples of labeled data.
While humans can infer 3D scene layouts, object-to-object relations, and have a broader understanding of scenes, the software doesn’t have a cognitive understanding of the real world. Teaching machines to understand everything that stands beyond their object identity is still a long way off.
Deep learning is a data-driven algorithm that doesn’t require knowledge outside of the training set. Humans recognize objects and patterns based on their common-sense knowledge and any samples that they have previously encountered.
Image Recognition Development Services At Unicsoft
Object recognition
Optical character recognition
Facial recognition
Emotion analysis
Defect recognition
Pattern recognition
Barcode or QR code recognition
Harness the power of image recognition in almost any business sphere
Visual search
With visual search, machines can scan what is going around, search, and recognize a target object. It could be used in conjunction with multiple software programs. For example, for people counting in retail stores.
Fraud detection
With fraud attacks getting more sophisticated, image recognition software can protect brands by detecting counterfeit logos and images, and banks by analyzing all submitted documents.
Content filtering and moderation
An AI-powered image recognition system can monitor user-generated content based on platform rules and guidelines. It can ease the process of content moderation for social media, online marketplaces, dating sites, forums, etc.
Defect detection in manufacturing
Industrial manufacturing deals with increasing demand to keep up with customer needs. We can train AI-powered models to identify and classify any defect to protect machines from failure and other significant implications on the line.
Medical image analysis
AI-powered image recognition systems can flog slightest irregularities that are invisible to the human eye. A well-trained model can improve the accuracy of MRI interpretation and eventually, to a better course of treatment.
Product identification in retail
Image recognition software can not only provide an automated check-out, but also improve and automate store management. They can monitor shelves, and flag if there is a shortage of certain products, misplaced items, or out-of-date products.
The technology and tools we use
Image recognition model development process
Why choose Unicsoft as your trusted image recognition development partner?
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