How To
September 4, 2024
Why Uptech?
25+
AI Solutions delivered
5
In-House AI products
3+years of expertise
working with GenAI models and LLMs
POCin2 months
Feasibility assessment and AI strategy included
GDPR, HIPAA, AI ACT
Best data security regulations applied
Computer Vision Software Development Solutions
Andrii Bas
Generative AI Expert at Uptech
Get a free consultation from our expert to enhance your product with GenAI.
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Computer Vision Projects By Uptech
Dyvo.ai for Business
AI Generator of Product Photos
Dyvo.ai for business is a generative AI tool that helps quickly create precise, brand-aligned images from your selfies in just 10-15 seconds.
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View Case Study
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Angler AI
AI-Based Platform for Customer Growth
Angler AI is an AI-powered platform that helps brands significantly improve customer acquisition and lifetime value.
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View Case Study
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Presidio Investors
Financial AI-Based Agent
It’s an AI agent that can meaningfully interact with the financial database. The database includes financials, portfolio performance metrics, governing documents, and legal agreements.
“Uptech is a great partner for software and web development projects. I was impressed with the talent level for each of the roles, including design, front-end, back-end.”
Indy Sheorey CO-FOUNDER & CTO, ANGLER AI
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Computer Vision Development Services We Provide
Industry-Specific Computer Vision Use Cases
Discover the transformative potential of Computer Vision across diverse industries. From fintech to real estate, social media to logistics, we provide customized Computer Vision solutions tailored to your specific needs.
Fintech
Customer identity verification
Computer vision technology is used to authenticate documents such as IDs, passports, etc.
Document digitization
CV can scans and extract information from financial documents and convert them into digital formats.
Real Estate
Property valuation
Computer vision tech assesses property conditions and value through aerial and ground imagery, providing accurate appraisals.
Virtual Tours
Computer vision creates immersive 3D tours of properties, allowing potential buyers to explore homes remotely.
Healthcare
Automated medical imaging
Computer vision helps analyze medical images such as X-rays, MRIs, and CT scans.
Telemedicine
Computer vision technology enables doctors to analyze patient conditions through high-quality images and videos.
Retail & eCommerce
Automated inventory management
Computer vision tracks stock levels and manages inventory in real time, reducing manual checks and errors.
Customer behavior analysis
CV can analyze in-store customer movements and interactions to optimize store layout and improve sales strategies.
Logistics
Automated Sorting
Computer vision identifies and sorts packages quickly and accurately in distribution centers.
Route Optimization
Computer vision analyzes visual data to identify the best delivery routes, reducing travel time and fuel consumption.
Our Computer Vision Development Process
01
Initial Consultation and Requirement Analysis
At the outset, we collaborate closely with clients to understand their business needs and challenges. We assemble a team of AI&ML, engineering, and product experts to dive deep into industry specifics and existing data. At the end of this stage, you get clear project objectives set up and the Uptech team assembled for your project.
02
Data Collection and Annotation
We carefully collect and organize datasets from sources like databases, sensors, and manual entries. Then, we label the data using advanced tools to ensure our Computer Vision models are trained effectively. Quality data is the foundation for successful Computer Vision development.
03
CV Model Development and Training
Our data scientists and engineers use algorithms and frameworks to design and develop strong Computer Vision models. We choose the right architecture, adjust settings, and create custom solutions to meet your project's needs. Then, we train these models with annotated datasets, optimizing them through training, validation, and fine-tuning.
04
Model Evaluation
Uptech team evaluates Computer Vision models to ensure they are accurate, reliable, and perform well. We use various metrics like precision, recall, F1-score, Intersection over Union (IoU), and confusion matrices to measure their effectiveness. We also test the models in real-world scenarios to make sure they are robust and dependable.
05
CV Model Deployment and Integration
Once the model meets the desired performance criteria, we integrate it into the client’s existing systems and deploy it for use. We set up the infrastructure, optimize the model for production environments, and ensure seamless integration with other components. We also provide training and documentation to the client's team for smooth operation.
06
Maintenance and Support
Last but not least, we offer continuous maintenance and support to ensure the model remains effective and efficient. This involves monitoring the model's performance, updating it with new data, and making necessary adjustments to adapt to changing requirements. Our team remains available to address any issues and provide enhancements as needed.
Computer Vision Tools We Use
As a Computer Vision development company, Uptech uses all modern tools and frameworks to develop apps with enhanced AI functionality and better user experience.
OpenCV
Uptech leverages OpenCV for developing advanced Computer Vision applications. This library enables efficient image and video processing, empowering projects from object detection to real-time video analysis.
PyTorch
At Uptech, we utilize PyTorch to build and train Deep Learning models. Its dynamic computation graph and intuitive interface accelerate our development of AI solutions, from Natural Language Processing to Image Recognition.
TensorFlow
Uptech employs TensorFlow to create scalable AI applications. This robust framework supports everything from Neural Network training to deployment, enhancing our capabilities in Machine Learning and Deep Learning projects.
Keras
Uptech uses Keras for its user-friendly Neural Network API. This high-level framework simplifies the construction and training of Deep Learning models, allowing us to develop sophisticated AI solutions efficiently.
NVIDIA CUDA
We use NVIDIA CUDA to harness the power of parallel computing. This technology accelerates our AI and Deep Learning applications, ensuring high performance and efficiency in data-intensive tasks.
Scikit-Image
For advanced image processing tasks, we leverage Scikit-Image library. It provides a range of algorithms for segmentation, feature extraction, and more, enhancing our Computer Vision projects.
Albumentations
Uptech uses Albumentations to augment image data for Deep Learning. With Albumentations library we ensure our models are robust and generalizable, and they perform various Computer Vision tasks with no issues.
Supervisely
At Uptech, we employ Supervisely to manage and annotate large datasets. It helps us streamline the workflow for Computer Vision projects, enhance data quality and accelerate model development.
CVAT
Uptech utilizes CVAT for efficient video and image annotation. This tool optimizes our labeling process, ensuring high-quality data preparation for training and validating our Computer Vision models.
YOLO
Uptech uses YOLO for real-time object detection. YOLO is a great model for fast and accurate identification of objects in images and videos, making it ideal for applications requiring quick response times.
Detectron2
Uptech leverages Detectron2 for state-of-the-art object detection and segmentation. This modular framework enables us to build precise and robust AI solutions for various Computer Vision tasks.
Choose Your Engagement Model
Dedicated Development Team
Hire a fully managed team, including ML experts, who work exclusively on your project. This model is best for long-term projects that require dedicated attention and expertise.
Pricing Model
Time & Material (T&M) with an option for a monthly retainer that allows for predictable budgeting and resource allocation.
Request a team
Request a team
Team
Extension
Augment your existing team with specialized ML professionals on an as-needed basis. Ideal for projects that require specific expertise or additional resources temporarily.
Pricing Model
Hourly rate, dependent on the level of expertise required and the duration of engagement.
Request a team
Request a team
Project-based
Model
Complete project handling from start to finish by our team of ML experts. Suitable for clients with defined project requirements and deadlines.
Pricing Model
Fixed price for projects with well-defined scope and deliverables or T&M for projects likely to evolve in scope.
Request a team
Request a team
Featured Content on Generative AI
Recent insights on Gen AI software development from our experts.
FAQ
Answers to the questions you may have on computer vision software development.
What is computer vision?
Computer vision is an innovative AI technology that trains computers to interpret and process visual data from the real world. Computer vision allows machines to recognize objects, track movements, and understand environments similarly to human vision.
What is computer vision software development?
Computer vision software development is the process of developing a software that enables machines to analyze and interpret visual data. It involves using algorithms and AI to perform tasks like object recognition, facial recognition, image classification, and more.
What computer vision software development services do we offer?
As a computer vision software development company, we offer a range of services including:
- Image classification
- Object detection and tracking
- Facial recognition and OCR
- Live video analysis
- Data collection and labeling
- Movement and gesture recognition
- Custom computer vision systems development
What are the benefits of applying computer vision solutions?
Computer vision boosts operational efficiency by automating quality control in manufacturing, enhancing customer experiences through personalized retail analytics, and improving security with real-time surveillance and anomaly detection. It reduces human error, accelerates data processing, and provides critical insights, driving substantial ROI and business growth.
How much does it cost to develop a computer vision solution?
The cost of computer vision solution varies. Depending on the project's complexity, data requirements, and custom features, the price typically ranges from $10,000 to over $100,000. Detailed project scoping ensures an accurate estimate. Tell us about your project and get a free estimate.
How much data do I need for a computer vision project?
The amount of data needed depends on the project scope. In general, thousands to millions of labeled images or videos are required to train effective computer vision models, ensuring accuracy and reliability.
How do we address privacy and security concerns in computer vision solutions?
At Uptech, we prioritize data privacy and security by implementing robust encryption, access controls, and compliance with GDPR, HIPAA, AI Act, and other regulations, ensuring user data is protected and used responsibly.
Why choose Uptech as a computer vision company?
As a top computer vision software development company, we ensure that clients can trust us the development of scalable and innovative apps. We promise our clients the following results:
- Faster time-to-market. We deliver the first version of your product in 3 months.
- Increased user satisfaction. We make your product meet users’ needs and provide an outstanding user experience.
- Aligned business needs. We don’t write code blithely, we build your product with the business needs in mind.
- Privacy and security. We sign NDA, follow security regulations, and implement robust encryption.
We bring top-quality AI development services that cater to our client's comprehensive business needs.
How long were we in the market?
In 2016 we started as a small mobile app development team that builds apps for Android. Now, we have grown into a software design & development company with highly professional Designers, Product Managers, Back-end & Front-end engenders, and QAs.
What is our team size?
We have 90+ experienced specialists in the following fields: Design, Discovery, Product Development, Back-end & Front-end Development, iOS, Android, and QA.
Do you sign NDA?
Yes, we sign NDA before providing product development services with all clients. We also follow OWASP Secure Coding Practices and GDPR. We treat data security very seriously, and we're committed to helping you comply with stringent regulations.
If you have any questions regarding our services or looking for something else, please feel free to contact us.
Ready for your business transformation with computer vision?
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