Our face recognition development team will train models to recognize faces in photos and video footage, conducting real-time and historical data analysis. Adding multi-face detection functionality to your software is a no-brainer for us, too.
ITRex, a reputable face recognition development company, develops algorithms that accurately identify key facial landmarks, from brow contours to the mouth and chin, in any lighting conditions and with partial obstructions, such as clothing and accessories.
As part of the face recognition software development process, we set up algorithms that look for matches in databases to correctly identify a person among a group of people. We also modify the system’s thresholds to reduce false positives and false negatives.
ITRex takes face recognition app development to the next level, teaching AI models to verify a person’s identity. We can improve your systems’ security by combining facial recognition technology with other forms of authentication, such as tokens and passwords.
Effective data management, end-to-end application integration, and compliance with industry-specific requirements distinguish our facial recognition software development services from the competition. We’ve successfully completed face recognition development projects for clients from the following sectors:
When initiating face recognition development projects, we first define your unique objectives and requirements, including the implementation environment (indoor or outdoor) and the expected lighting conditions. We’ll also look into your hardware setup and regulatory requirements and field-test your idea through a proof of concept.
At this stage, ITRex facial recognition developers join forces with software architects to lay the groundwork for your solution. We’ll investigate how the system will capture and analyze incoming data, select best-suited algorithms, and assess integration requirements.
Our face recognition development company will prepare high-quality, representative, and varied datasets for algorithm training. We may use data augmentation techniques or generate synthetic data in cases where training data is scarce or cannot be used due to privacy concerns.
Training the model and validating that it can correctly identify facial features and match them against the information stored in the database is an integral part of our facial recognition software development services. Our team will test and refine the model iteratively to ensure optimum performance.
ITRex’s face recognition app development experts will merge the model with your existing IT systems, from CRM to ERP and payment solutions, as well as third-party services. We’ll also configure a cost-effective cloud, on-premises, or hybrid infrastructure for your system. And if you’re investigating edge AI options, we’re well-versed in embedded software development, too.
As part of facial recognition development, we assist clients in deploying models into production environments. Our in-house team of MLOps consultants will recommend the best deployment strategy and ensure that the model is continuously tested, validated, and improved based on user feedback.
Once your model goes live, you can carry on working with our face recognition development company to refine it, updating the solution with new data and features and scaling the system across new use cases.