Computer vision and AI video analytics for business

We develop and implement computer vision and AI video analytics systems for business, including object recognition, quality control, PPE monitoring, traffic management, queue tracking, inventory management, and production process oversight.

We handle enterprise-level tasks, closed-loop systems, on-premise deployments, and integrations with ERP, CRM, WMS, MES, BI, and internal client platforms.
Advantages
Customization for business processes and R&D
We develop computer vision for tasks that cannot be solved by standard modules: specific objects, complex shooting conditions, industry regulations, and non-standard events. We configure recognition logic, interfaces, reports, and integrations so the system aligns with the client's actual processes.
Pilot from 1 month
We quickly deploy a functional computer vision prototype using your data: we connect a video stream or archive, adapt the model to your task, configure event detection, and display the results in an interface. In a short cycle, you receive a clear demonstration of the system working under real-world conditions.
Ready-to-use video analytics modules
We connect ready-made computer vision modules for the rapid deployment of AI video analytics at your facilities. The solution processes video streams, detects specified events, and transmits data to your interface, notifications, or internal company systems.
Trusted by
Risks that video analytics helps avoid
Missed violations
Delayed incident response
Rising operating costs
Security and compliance risks
Invisible system deviations
Lack of objective data
Hidden resource losses
Risks of abuse and unauthorized actions
[ Project stages ]
We take the technical and project management burden off the client
Task audit and scenario preparation
We analyze your current processes to determine the specific problem video analytics should solve. We assess your existing cameras, video stream quality, and site constraints before proposing the ideal implementation strategy.
Pilot and working prototype
We launch the solution using real-world data to demonstrate how it performs on-site. At this stage, we verify the recognition scenario, event logging logic, and initial interface output.
AI computer vision models
We develop, train, or adapt models to meet your specific needs. The system is configured to recognize required objects, actions, defects, or events, and can be fine-tuned to handle unique business scenarios.
Camera and video stream connectivity
We connect the system to your existing cameras, video archives, and servers. If necessary, we can also select and install new cameras, optimizing for angles, lighting, image quality, and recognition requirements.
Event logic and operational procedures
We define the rules that determine what the system identifies as an event, violation, or deviation. Our video analytics are tailored to your specific business logic and operational procedures.
Interfaces and analytical dashboards
We design interfaces for managing events, incidents, statuses, and reports. Instead of raw video feeds, management receives clear, actionable data on objects, deviations, and processes.
IT infrastructure integration
We integrate the video analytics system into your existing IT infrastructure. Events can be transmitted directly to your internal systems, allowing your team to manage them within their familiar workflow.
Infrastructure, monitoring, and support
We deploy the solution using the architecture that fits your needs: on-premises, in a private network, in the cloud, or on edge devices. Once launched, we monitor system stability and recognition quality, and provide ongoing support for further development.
Analyze my project   
Computer vision use cases
Anonymity and privacy
PPE and safety compliance monitoring
Process monitoring and downtime tracking
Vehicle recognition and access control
Queue management and occupancy monitoring
Product, shelf, and display recognition
Cash register monitoring and dispute resolution
OCR and label recognition
Staff and contractor activity monitoring
Smoke, fire, and incident detection
Object tracking and presence monitoring
Thermal Imaging and Temperature Deviation Monitoring
Facility and Site Condition Monitoring
Zone and Perimeter Monitoring
Have questions or didn't find the task you need? Contact us, and we will help you find a solution!
Manufacturing and Industry
• Quality control of products, parts, packaging, and materials
• Detection of defects, damage, and deviations from standards
• Monitoring of PPE, hazardous zones, and occupational safety requirements
• Recording of downtime, bottlenecks, and operational process violations
• Monitoring of equipment, production lines, and work areas
Warehouse and Logistics
• Monitoring of loading, unloading, and order picking
• Recognition of pallets, containers, crates, and other assets
• Recording of vehicle downtime and zone congestion
• Monitoring of object movement between warehouse sections
• Integration of video analytics events with WMS, ERP, and TMS
Retail and FMCG
• Monitoring of shelves, product placement, empty spaces, and product categories
• Analysis of queues, customer traffic, and retail zone occupancy
• Monitoring of checkout operations and transaction disputes
• Recognition of products, markings, labels, and price tags
• Detection of deviations affecting sales and service quality
Construction and Development
• Monitoring of PPE, access control, and presence in hazardous areas
• Monitoring of work progress, machinery, contractors, and construction sites
• Recording of regulation violations and incidents
• Monitoring of site conditions, materials, and equipment
• Collection of factual data on objects and work stages
Urban Infrastructure and Smart City
• Monitoring of territories, public spaces, and urban facilities
• Detection of litter, abandoned objects, and incidents
• Recognition of vehicles, pedestrian traffic, and zone violations
• Monitoring of contractor work, cleaning, and infrastructure status
• Integration of video analytics with urban monitoring systems
Transport and Access Control
• Recognition of vehicles, license plates, and entry/exit events
• Automation of checkpoints, barriers, and restricted areas
• Monitoring of routes, parking zones, and vehicle dwell times
• Detection of unauthorized access and movement within the site
• Event reporting to security and management systems
Airports, Stations, and Transport Hubs
• Analysis of passenger traffic and area occupancy
• Monitoring of queues at entrances, counters, terminals, and security checkpoints
• Detection of abandoned items and emergency situations
• Access control for staff-only and restricted areas
• Monitoring of perimeters, vehicles, and operational processes
Commercial Real Estate and Offices
• Monitoring of room occupancy, meeting rooms, entrances, and common areas
• Analysis of employee and visitor traffic
• Monitoring of queues, service processes, and facility conditions
• Detection of abandoned items, security breaches, and unauthorized access
• Oversight of contractors, cleaning services, and facility operations
Housing and Property Management
• Monitoring of building entrances, courtyards, parking lots, and common areas
• Detection of abandoned items, littering, and public order violations
• Monitoring of cleaning, waste removal, and contractor performance
• Access control for walkways, parking zones, and utility rooms
• Event reporting to dispatch centers, ticketing systems, and property management software
HoReCa and Food Service
• Monitoring of queues, area occupancy, and service quality
• Oversight of staff and contractor compliance with regulations
• Monitoring of cash transactions, disputes, and non-compliant actions
• Inspection of dining areas, kitchens, and service zones
• Analytics of guest traffic and operational workload
Banking and Financial Sector
• Monitoring of customer areas, queues, and branch operations
• Video analytics for ATMs, terminals, and self-service zones
• Documentation of disputed transactions and suspicious activity
• Access control, security, and internal policy enforcement
• Integration of events with monitoring and security systems
Educational Institutions and Campuses
• Access control for the premises and specific zones
• Analysis of student, staff, and visitor traffic
• Monitoring occupancy of lecture halls, lobbies, cafeterias, and common areas
• Detection of incidents and breaches of conduct
• Monitoring of public events, entry points, and waiting areas
Sports Facilities and Public Events
• Analysis of spectator, guest, and participant traffic
• Monitoring of queues, entrances, turnstiles, and waiting areas
• Identification of overcrowding, congested areas, and route violations
• Perimeter security, access control, and restricted area monitoring
• Detection of incidents and events requiring rapid response
Agro-industry
• Analysis of crops, fields, plots, and site conditions via photo and video
• Recognition of machinery, livestock, objects, and site zones
• Monitoring of product quality, raw materials, and production processes
• Detection of anomalies, contamination, and regulation violations
• Data analysis from cameras, drones, and stationary observation points
Healthcare and Pharmaceuticals
• Monitoring of markings, packaging, labels, and documentation
• Verification of completeness, product condition, and visual defects
• Access control, storage area monitoring, and compliance with internal procedures
• Video analytics for queues, traffic flows, and service areas
• Integration with accounting, warehouse, and internal systems
Public sector and high-security facilities
• Control of access, premises, regulations, and site events
• Operation in a secure environment without data transmission to external services
• Recognition of people, vehicles, zones, violations, and emergencies
• Integration with internal monitoring, reporting, and security systems
• Support for scenarios for infrastructure, administrative, and high-security facilities
Oil & Gas, energy, and mining
• PPE, hazardous zone, and equipment access control
• Thermal imaging and temperature deviation logging
• Monitoring of facility, component, site, and infrastructure status
• Detection of smoke, fire, emergencies, and regulation violations
• Closed-loop operation and integration with industrial safety systems
Waste recycling and ecology
• Recognition of raw materials, waste, packaging, and material types
• Control of sorting, contamination, and storage area status
• Monitoring of container, site, and process area fill levels
• Logging of violations regarding site order, waste removal, and contractor performance
• Analytics on material flows and process deviations

Have a computer vision task?

Within 24 hours, the BPA technical team will analyze your task, evaluate your current data, and propose a clear launch format.

Technology stack
Computer vision and AI models
VLM, YOLO, MediaPipe, ArcFace, Object Detection, Segmentation, Pose, Classification, tracking, OCR.
Video and data sources
IP cameras, RTSP/HLS/MJPEG, ONVIF, NVR/DVR, industrial cameras, edge cameras, thermal imagers
Video stream processing
OpenCV, FFmpeg, GStreamer, NVIDIA Triton, NVIDIA DeepStream
Backend and API
Python, FastAPI, Django, Node.js, REST API, GraphQL, WebSocket, microservices architecture
Interfaces and analytics
React, TypeScript, Next.js, BI integrations, event logs, incident cards, reports
IT ecosystem integrations
ERP, CRM, WMS, MES, BI, access control systems, 1C, corporate portals
Infrastructure and deployment
On-premise, cloud, hybrid, edge (Raspberry Pi, OrangePi, Radxa, LicheePi, Nvidia Jetson), Docker, Kubernetes, Linux, Nginx, GPU servers, CI/CD, closed-loop systems
Data and queues
PostgreSQL, MongoDB, Redis, ClickHouse, Kafka, RabbitMQ, S3/MinIO
MLOps, monitoring, and security
Model versioning, drift monitoring, Prometheus, Grafana, Sentry, RBAC, JWT, TLS
computer vision implementation case studies
All projects

FAQ

We have compiled answers to the most frequently asked questions to help you quickly find the information you need about our services, processes, and terms of cooperation. This includes how to start a project with us, project timelines, and much more.

How long does computer vision implementation take?
Can we use existing cameras?
What data is needed to launch a project?
Can we start with one site and then scale the solution?
Can computer vision be implemented without stopping current processes?