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AI that sees, understands, and improves operations
Our custom computer vision solutions analyze live or recorded video to deliver real-time insights. Using advanced AI, we detect, classify, and track objects, behaviors, and anomalies, helping your team minimize manual monitoring and respond more quickly.
- AI detects relevant objects, movements, or events
- Computer Vision models are trained specifically for your environment
- Seamless integration with your existing cameras and systems
Use Cases of AI video analytics
Explore how our AI and Computer Vision solutions are applied across real-world environments, from retail to logistics, public spaces, and beyond.
Analyzing surveillance cameras in public spaces
Automatically analyze and predict foot traffic, detect queues and bottlenecks, identify lost items or dangerous situations, and count visitors across multi-camera setups.
Supporting logistics operations with computer vision
Track packages in warehouses or ports, measure cargo volume for automation, and use OCR to recognize labels or license plates for sorting and validation.
Improving in-store processes with computer vision
Recognize products on shelves for automatic audits and stock checks, optimize placement using real data, and analyze customer flow with heatmaps and queue tracking.
Automating industrial processes with AI
Inspect product quality using smart cameras and sensors, detect defects, verify labels and shapes, and control sorting or proper use of protective equipment.
Applying vision systems in agriculture
Analyze food quality, count and monitor livestock, and automate sorting of agricultural goods with AI-powered visual systems.
Getting insights from satellite and drone images
Analyze aerial imagery to track landscape changes, detect damage to infrastructure, and count or locate specific objects like roads or rooftops.
Computer Vision Services
We create cutting-edge computer vision models with composable workflows supported by industry-proven algorithms. See some examples of our video analytics and computer vision services.
Object Detection
Detect and classify objects like vehicles, packages, or equipment to automate tracking and improve safety or accuracy in production.
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Image Segmentation
Precisely define and isolate object boundaries in an image. Useful for robotics, autonomous driving, or medical analysis.
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Object Tracking
Track the same object or person across frames. Ideal for monitoring movement in self-service stores, warehouses, or multi-camera setups.
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Optical Character Recognition (OCR)
Extract text from images or video, such as labels, license plates, or container codes, to automate sorting, validation, and reporting.
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Edge AI
Deploy AI models on local devices like NVIDIA Jetson or Intel NUC to reduce latency, increase reliability, and enable real-time performance without relying on the cloud.
Talk with expert →Explore 3D movement recognition with AI
Go beyond 2D video analysis with advanced 3D motion recognition. Understand complex human or object movements in depth, perfect for workplace safety, physical therapy, behavior tracking, or human-machine applications.
Custom AI solutions to meet your business needs
With us, you don’t just get a standard AI solution, we create custom AI solutions tailored specifically to your business needs. This is what we offer as part of our AI Development service:
Requirements analysis
We understand your goals, identify where AI can add the most value, and define the project scope, timeline, and resources.
MVP / POC
Building a quick prototype of the solution, which will allow you to test it with your potential users and eliminate possible issues or adapt the requirements on early stage.
Development
Based on the verified requirements, we build end to end AI based solution using state-of-the-art techniques including ML models, data engineering pipelines, MLOps and UX.
Maintenance
Ongoing support ensures your AI solution stays accurate, adapts to evolving data, and meets changing business needs.
Customer Success Stories
Discover how our AI-powered video analytics delivers real-world value, from automated quality control to intelligent people counting, and more.
Internet of Things
AI-Enabled People Counting with RapidLab: Enhancing Safety and Efficiency
MedTech
ShareMedix uses AI to learn patterns and recognize faces in large data in DICOM & video
Automotive
AI automating quality control process in automotive industry
Why us?
Expertise
Rely on our specialized knowledge and many years experience implementing AI projects, including generative models.
Time and resources
Access the necessary resources and experience more quickly and get the project up and running faster.
Cost effectiveness
Use the help of a reliable partner without the costs and the time needed to build the project in-house.
Risk management
We help you handle the risks connected with implementing the project, including risks related to technology, data and compliance.
Ready to unlock insights from your video data?
Talk to an expert today.
Frequently Asked Questions (FAQs)
What is AI-powered video analytics?
AI-powered video analytics is a technology that uses artificial intelligence, especially computer vision and machine learning, to automatically analyze video footage, either in real time or after recording. Instead of relying on manual observation, the system can independently detect, classify, track, and interpret objects, people, and activities within a video stream. This enables organizations to transform raw visual data into actionable insights. For example, the system might recognize whether a worker is wearing safety equipment, monitor vehicle movement in a logistics hub, analyze customer behavior in a retail store, or read license plates and text on packages using OCR
How does video analytics work?
Video analytics works by using artificial intelligence, particularly machine learning and deep learning techniques, to automatically process and interpret video footage. The system analyzes individual video frames much like a human observer would, but with greater speed, consistency, and the ability to operate continuously without fatigue. It identifies visual patterns, detects motion, recognizes objects or people, tracks their movement over time, and interprets specific behaviors or situations based on predefined rules or learned models.
The process typically begins with a video feed from one or more cameras, which is then processed by AI-powered software. This software can run locally on edge devices such as smart cameras or on-premise servers, or it can operate in the cloud, depending on the use case and performance requirements. Deep learning models, trained on large datasets, allow the system to recognize and classify what it sees, including vehicles, tools, people, clothing, or even printed text. These models can be adapted over time to suit different environments and evolving business needs.
What industries benefit from AI video analytics?
Industries such as manufacturing, logistics, retail, healthcare, transportation, and security benefit significantly from AI video analytics. Typical use cases include quality control, intruder detection, package tracking, workplace safety monitoring, and customer behavior analysis.
If your industry isn’t listed here, no problem. Let us know your specific use case, and our team will be happy to explore how AI video analytics can support your goals. Contact us here.
What is object detection in video analytics?
Object detection involves identifying and localizing objects like people, vehicles, or tools in video footage. It’s essential for tasks like monitoring restricted zones, counting people, or detecting violations.
Can video analytics recognize specific types of objects?
Yes. With AI-based classification, systems can identify object types based on learned features, for example, differentiating between forklifts and delivery trucks, or spotting workers not wearing helmets.
How does object tracking work in video analytics?
Object tracking keeps a consistent ID for each detected object across video frames, enabling systems to understand movement and interactions over time, like tracking a product on a conveyor belt or a shopper in a store.
Can AI video analytics be integrated into existing CCTV systems?
Yes, AI video analytics can be integrated into existing CCTV infrastructure. At theBlue.ai, we develop custom AI solutions tailored to your specific environment, goals, and technical requirements. Our systems are designed to work with standard cameras and video management systems, whether deployed on-premise, at the edge, or in the cloud. If your current setup does not support the required capabilities, we can provide the necessary hardware or infrastructure to enable a smooth integration. Additional costs may apply depending on the scope and scale of the solution. We will work closely with you to define the most efficient and cost-effective approach for your use case.
How much does AI video analytics cost?
The cost of AI video analytics solutions can vary depending on several factors, including the complexity of the use case, the number of video streams, whether processing is done on the edge or in the cloud, and any custom AI models required.
At theBlue.ai, we tailor our solutions to your specific needs, so whether you’re running a small pilot or need enterprise-scale deployment, we provide flexible pricing models. To get a detailed quote, contact our team with your requirements.
Can the AI be trained for my specific environment or objects?
Absolutely. We offer customizable AI models trained on your specific data. Whether you’re monitoring unusual machinery or niche retail products, our models can be fine-tuned for optimal accuracy.
Can AI video analytics be integrated with our existing systems?
Yes, at Blue.ai we build custom AI systems and solutions based entirely on your specific needs and use case. Whether your setup includes existing cameras, software platforms, or industrial systems, we can develop and integrate AI video analytics to fit seamlessly into your current infrastructure. Even if integration with legacy or third-party systems is required, our team ensures that the solution is designed to work within your environment.
How long does it take to deploy an AI video analytics solution?
Deployment time varies by project scope. A proof of concept (PoC) can often be implemented within 2–6 weeks. Full rollout may take longer depending on integration needs, camera availability, and customization.