Awards
Our specialists are well-versed in the realm of computer vision software development across various industries. In manufacturing, we’re able to design systems that automate and improve quality checks. For healthcare, we’re capable of building solutions that make medical image analysis more precise and reliable. When it comes to security, we can help enhance surveillance systems to better detect potential threats. In the retail sector, we’re proficient in creating tools for comprehensive customer behavior studies.
Our Computer Vision Development Services
Model Design & Optimization
Integration & Deployment
Ongoing Support & Data Annotation
Object Tracking, Anomaly Detection & Data Preparation
Image Segmentation & Facial Recognition
Gesture Recognition & Augmented Reality
Cooperation Scenarios
Our Expertise
Technologies We Use
Industries We Work With
We Can Create a Product
Computer Vision Development Process
Requirements & Data Preparation | Design & Architecture | Algorithm & Development |
Initial phase involves a detailed analysis of client-specific objectives and constraints. Data collection includes both labeled and unlabeled datasets, subjected to preliminary data cleansing and normalization to guarantee quality machine learning stages. | At this stage we create UI/UX prototypes, user-tested for optimal interactivity, with a software architecture plan. The architecture accommodates different machine learning algorithms, including CNNs, as well as provisions for IoT integrations. | We focus on algorithm selection and customization, employing machine learning methods such as Support Vector Machines (SVM) or Random Forests. Features extraction techniques like SIFT or ORB are also incorporated, based on project requirements. |
Multi-Level Testing | Deployment & Integration | Support & Documentation |
Unit, integration, and end-to-end testing are conducted, using specific test cases designed to emulate operational scenarios. Quality Assurance applies metrics like precision, recall, and F1-score for performance evaluation against set benchmarks. | Finalized modules are integrated into client infrastructure, either cloud-based or on-premises, using containerization methods like Docker for scalable deployments. CI/CD pipelines are used for smooth integration and quick rollbacks, if necessary. | Post-launch includes algorithmic fine-tuning based on real-world data and performance metrics. Extensive documentation covers setup protocols, API references, and performance metric guidelines for ongoing operational refinement. |
Why Choose Sirin Software?
Expertise & Quality | Innovative & Time-Efficient | Flexibility & Client Focus |
Your project will be completed with unrivaled competence and quality thanks to our team of specialists and dedication to employing premium components. This guarantees industry-leading standards for your end product. | Our team provides cutting-edge solutions on time by utilizing advanced technologies and efficient operations. With this combination, you stand out in the competitive market and can release products faster without compromising quality. | Our flexible cooperation models and client-centric approach offer a tailored experience that meets your specific needs. From tech advisory to full-cycle development, we provide a range of options for maximum control and peace of mind. |