Computer Vision AI Solutions
Get computer vision artificial intelligence service from IT experts to properly implement computer vision by extracting real-time data from video and images to accelerate your journey to machine learning
Computer vision is a field of artificial intelligence that trains machines to perceive, comprehend, and interpret the visual world in a manner akin to human vision. This technology facilitates the development of machine learning models capable of accurately understanding, identifying, and classifying objects in images or videos at a significantly larger scale and speed.
Recent advancements in computer vision technologies have addressed several limitations that humans encounter in accurately detecting and labeling objects from the vast amounts of data generated by disparate systems. Computer vision addresses the following three challenges:
Automatically understanding the nature and location of objects within an image
Categorizing objects and discerning the relationships between them
Comprehending the context of the scene
Classification: Identifying the broad category of the object
Identification: Determining the specific type of the object
Verification: Confirming the identity of the object on a photo or video
Detection: Locating the objects within the photo or video
Landmark Detection: Identifying the key points of the object
Segmentation: Determining the pixels that belong to an object
Realized projects
Rated by 44 clients
Years of engineering excellence and tech innovation
Automate non-standard processes through artificial intelligence, saving time and resources to develop and manage data and software
Machine learning models for understanding and interpreting visual objects, accurate and correct labeling of images and video data
Fully managed, comprehensive data annotation services with software to simplify user interaction
AI implementations for data analysis, automated signals and process automation
A high-speed camera for video stream transmission to the server and a lighting system (if necessary) are installed at the site. The camera is matched depending on the movement speed of the objects and their size
The data is transmitted to the server, where a trained computer vision algorithm processes the data and recognizes the specified characteristics (identifies defects, records events, determines dimensions, etc.). The final data is then transferred to the end-user software
The program displays the characteristics of objects to decide on further actions (stop the line due to defects, make changes in employees' work, etc.). Another use case: sound or light notification when an event is detected
Computer vision is able to automate tasks that require visual analysis, noticeably speeding up processes and reducing errors
In fields such as medical diagnostics, AI Solutions can detect abnormalities more accurately and consistently than the human eye
Computer vision enables real-time image processing and interpretation, which is vital in areas such as autonomous driving or security where immediate response is crucial
Once customized, computer vision solutions can be adapted to different locations and devices, making it easier to expand operations without increasing workload
Automating routine and labor-intensive tasks with computer vision can reduce the need for manual labor, lowering operating costs over time
Computer vision AI solutions are able to monitor worker safety, identify dangerous behavior, verify compliance with safety measures, and reduce the likelihood of injury
By analyzing images, companies can gain insights into customer behavior, operational bottlenecks, and other important metrics to help inform decisions
Computer vision AI solutions can enhance the user experience with personalized recommendations and immersive technologies such as virtual reality
Renata Sarvary
Business Development Manager
Plavno has a team of skilled developers ready to tackle the project. Ask me!
Get a Free QuoteThere are not enough effective tools on the market that can perform forecasting calculations in a reliable and automatic manner. Our solution enable to offer the optimal assortment of goods, control deliveries, and do other operations based on the obtained expert report. The system increase the accuracy of demand forecasts, and reduce the time spent by analysts on demand forecasting
Results25%
Increased Forecasting Accuracy
Partnering with Plavno, Verde Local lower its days sales of inventory from 27 days to 18 days, improved overall demand forecasting accuracy to 90%, and increased on-shelf availability to 75% across the entire store chain. As a result of the new solutions, Verde Local was able to increase revenue and open 15 new stores in 6 months
Results90%
Accuracy of demand forecasting
Our client, a global logistics company, needed a powerful software to optimize their supply chain. They wanted a platform for accurate demand forecasting, inventory management, supplier performance analysis, risk assessment, and real-time supply chain visibility. The goal was to make data-driven decisions, boost efficiency, cut costs, and improve customer satisfaction.
Results20%
inventory costs reduction
Experts ready to start with your project
A project manager with expertise in computer vision collaborates with you. The project manager is always available by phone to ensure that the deadlines, budgets, and objectives of the computer vision AI solution implementation are met
Agile teams are primed for deployment within 2-3 weeks.
Well-defined service standards for all clients.
of developers are senior-level.
Artificial Intelligence models in which we possess expertise and actively employ in our projects
GPT-4
Llama
Palm 2
Claude
Dall-E 2
Whisper
Stable Diffusion
Phi-2
Gemini
Vicuna
Mistral
Bloom 560mm
You schedule a meeting with our product development team at a time that works for you
You share your product idea and ask any questions you have after we sign an NDA
We outline how we can assist you in developing and bringing your product idea to life
Computer vision is an AI field that enables machines to interpret and analyze visual data, mimicking human vision. It powers applications like facial recognition, autonomous vehicles, and medical imaging by processing images and videos for decision-making.
The most widely used computer vision library is OpenCV (Open Source Computer Vision Library). It offers a comprehensive suite of tools for image processing, object detection, facial recognition, and real-time video analysis. OpenCV is renowned for its efficiency, cross-platform compatibility, and seamless integration with programming languages such as Python and C++, making it a preferred choice in AI, robotics, and automation.
Computer vision is a broader field focused on interpreting visual data, while deep learning is a subset of AI that enhances it through neural networks. Modern computer vision increasingly relies on deep learning for tasks like image recognition and object detection.
One of the largest computer vision datasets is Google's JFT-300M, with over 300 million labeled images. Among publicly available datasets, ImageNet and COCO are widely used for research and benchmarking.
No meetings or calls needed. Just answer a few questions and our consultants will provide an advisory package tailored for your project. It's absolutely free.
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Sergio Artimenia
Commercial Director, RNDpoint
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Thien Duy Tran
Product Manager
Review from Thien Duy Tran, T-Rize Group
Through the partnership with Plavno, we built a system used by more than 40 million connected channels. Throughout the engagement, the team was communicative and quick in responding to our concerns. Overall, we were highly satisfied with the results of collaboration.
Michael Bychenok
CEO, MediaCube
Plavno was hired by a YouTube network to develop an internal portal for bloggers that handled Google reports for their company. They also built an e-wallet and a system where users' information was collected.
Read morePlavno's codes and designs are user-friendly, and they complete all deliverables within the deadline. They are easy to work with and easily adapt to existing workflows, and the client values their professionalism and expertise. Overall, the team has delivered everything that was promised.
Helen Lonskaya
Head of Growth, Codabrasoft LLC
A mobile app development company has hired Plavno to create a secure digital system, combining health testing with advanced mobile technologies. They've also made the app functional for iOS and Android devices.
Read moreThe app has been designed to be user-friendly and intuitive, allowing users to easily search for flights, hotels, and car rentals, Plavno has an impressive and comprehensive understanding of our business model and value proposition, which they were able to quickly absorb.
Yana Romanovskaya
Project Manager
Plavno built a software development firm's travel app for iOS and Android. They designed the UI/UX, integrated payment gateways, and implemented registration, booking, translation, and other features.
Read moreThe MVP app developed by Plavno is excellent and has all the functionality required. Plavno has delivered on time and ensured a successful execution via regular updates and fast problem-solving. The client is so satisfied with Plavno's work that they'll work with them on developing the full app.
Mitya Smusin
Founder, 24hour.dev
Plavno has developed the MVP of a gig work history data collection app for a React frontend development company. Features include user registration, earnings data collection, data aggregation, and data graphs.
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Launching a successful startup or groundbreaking app isn't just about a brilliant idea; it's about the execution.
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Sales Manager
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