Video AI Intelligence
We combine cutting-edge AI technology with human intuition to deliver solutions that truly understand and serve your needs.
We combine cutting-edge AI technology with human intuition to deliver solutions that truly understand and serve your needs.
Our list of proposals focuses on achieving additional results through advanced video analytics — in areas such as transportation, quality control, machine condition monitoring, human and process safety, pedestrian and vehicle traffic within facilities, and recognition of markings.
Video analytics supports monitoring through CCTV systems by automating operations, assisting operators, and detecting potential threats. Event search and understanding systems powered by AI can operate up to 95% faster than traditional methods. They enable rapid identification of theft perpetrators, real-time support for security personnel in apprehending suspects, locating lost or missing children, detecting unattended baggage, and preventing vandalism or violence.
Facial recognition and behavior analysis systems aid security teams, mood detectors help target commercial offers to the appropriate audience, and motion analytics can identify and support individuals who have fainted or are behaving abnormally.
By analyzing body posture, these systems can recognize movements such as crawling, kneeling, raised hands, or shooter stances.
Around-the-clock monitoring of airport facilities and property is a core function of vision systems. We oversee the airside, pedestrian pathways, vehicle traffic, baggage transport, staff activities, and process compliance, while providing actionable insights on incidents. To enhance security, we develop response algorithms supported by neural networks and AI analytics. These systems analyze various scenarios in real time, and their responses are adapted to the situation based on historical incident data.
Our proprietary critical evacuation support system is based on video analytics enhanced with neural networks that detect every person passing through a counting gate. By linking entry and exit zones, the system provides real-time data on the number of people present in a facility. It reports directly to a mobile application, allowing responsible personnel and emergency teams to monitor current occupancy status and the effectiveness of the evacuation process.
Advanced AI-based systems can detect the presence of people in hazardous zones, identify missing required protective equipment such as helmets, vests, or goggles, and issue warnings when approaching active machinery or robotic workstations.
By analyzing behavior and body posture, video analytics can identify potentially dangerous situations—such as running, falls, crowding, or sudden lack of movement—enabling immediate intervention and accident prevention. This technology also supports access control, ensuring that only authorized personnel enter restricted areas, while continuously monitoring operations to detect process anomalies, unsafe interactions, or improper use of equipment.
Cameras aid movement on the airside, helping prevent collisions and alerting staff to potential hazards. They can detect, classify, and distinguish animals.
These camera systems integrate with other perimeter security solutions—such as barriers, lasers, and additional sensors—enhancing facility security and preventing accidents, theft, and unauthorized surveillance.
By continuously monitoring conveyor lines, these systems automatically detect defects, verify assembly accuracy, and ensure correct labeling — maintaining consistent product quality without slowing production. They also track throughput, identify jams or blockages, and monitor machine performance to optimize workflow and reduce downtime.
For safety and security, intelligent cameras detect unauthorized presence near conveyors, verify the use of protective equipment, and recognize unsafe behaviors such as falls or proximity to moving machinery.
Integrated with control systems, video analytics provide real-time insights, enhance traceability, and support faster decision-making — creating a smarter, safer, and more efficient production environment.
At the entrances of facilities or sites, video registration and video analytics serve as essential tools for security, safety, and operational management. High-definition cameras combined with AI-driven analytics enable automatic recognition of people, vehicles, and license plates — ensuring that only authorized individuals and assets gain access to the premises.
These systems can record every entry and exit event, linking footage to access control systems for traceability and compliance. Facial recognition and badge verification enhance identity confirmation, while vehicle detection and license plate recognition streamline gate operations, visitor logging, and delivery management.
Beyond access control, video analytics can monitor pedestrian and vehicle flow to prevent congestion, detect unauthorized access attempts, and identify potential safety risks near entry zones. By combining intelligent monitoring with automated reporting, video registration at entrances strengthens perimeter security, supports regulatory compliance, and contributes to a safer, more efficient workplace environment.
Video analytics enables comprehensive, real-time analysis of traffic in factories, industrial parks, and logistics zones — helping improve safety, efficiency, and flow management. By using AI-powered object detection and tracking, the system identifies and classifies different types of traffic, including trucks, forklifts, passenger vehicles, and pedestrians, across loading docks, internal roads, and parking areas.
The technology continuously monitors movement patterns, vehicle speeds, and congestion points, allowing operators to detect bottlenecks, unsafe crossings, or unauthorized routes. It can also measure traffic density, dwell times, and queue lengths to optimize scheduling and reduce waiting times at gates or loading bays.
In addition to operational efficiency, video analytics contributes to safety by detecting near-miss incidents, recognizing pedestrians in vehicle zones, and triggering alerts in cases of risky behavior or traffic violations. All collected data can be visualized in dashboards and integrated with logistics and site management systems, providing actionable insights for planning, safety enforcement, and process optimization.
Overall, video analytics transforms traditional traffic monitoring into an intelligent, data-driven system that enhances both safety and performance across transport and logistics environments.
In industrial and manufacturing environments, video analytics plays a vital role in tracking forklifts to enhance safety, efficiency, and logistics control. Using AI-powered object detection and motion tracking, the system identifies and follows forklift movements in real time, mapping their routes and interactions across production areas, loading zones, and warehouses.
By continuously monitoring forklift activity, video analytics can detect unsafe driving behaviors such as speeding, sudden stops, or collisions, and trigger alerts when a forklift enters restricted or pedestrian zones. The system also helps prevent congestion and accidents by analyzing traffic patterns and optimizing movement paths.
Additionally, integration with access control and fleet management systems allows for monitoring operator authorization, utilization rates, and idle times, providing valuable data for performance optimization and maintenance planning. Overall, forklift tracking through video analytics increases workplace safety, improves logistics flow, and supports smarter, data-driven management of industrial operations.
Video analytics can significantly enhance the arrival notice process in industrial, logistics, and manufacturing environments by providing real-time, automated monitoring and verification of incoming vehicles and shipments. Cameras equipped with AI-based recognition can detect and identify trucks, delivery vans, or cargo containers as they approach gates or loading zones, automatically capturing license plates, vehicle types, and cargo details.
This information can be linked to the arrival notice or scheduling system, allowing staff to verify expected deliveries and identify discrepancies before vehicles enter the facility. Video analytics can also monitor arrival sequences, track dwell times at gates, and detect unauthorized vehicles or unscheduled visits, reducing delays and improving operational efficiency.
Additionally, integration with mobile or desktop dashboards enables logistics teams and security personnel to receive immediate alerts and updates, ensuring a smooth and controlled arrival process. By automating verification and monitoring, video analytics reduces human error, enhances security, and streamlines coordination between incoming shipments and internal handling processes.
Video analytics can greatly enhance packaging and tracking processes in airport environments by providing real-time monitoring, quality control, and traceability throughout the conveyor lines. AI-powered cameras can inspect products as they move through packaging stations, automatically detecting misalignments, missing components, damaged packaging, or labeling errors to ensure every item meets quality standards before leaving the line.
The system can also track individual products or batches throughout the logistics process. By identifying items using barcodes, QR codes, or visual markers, video analytics ensures accurate sorting, routing, and inventory management. This enables operators to monitor product flow, prevent misplaced or misrouted shipments, and maintain up-to-date stock records.
Additionally, automated alerts can notify staff of packaging errors or deviations in real time, minimizing downtime and reducing human error. By combining inspection, tracking, and reporting, video analytics supports a more efficient, reliable, and transparent packaging and distribution process, improving overall operational effectiveness and product quality.
Systems integration plays a crucial role in modern industry by connecting diverse machines, sensors, software platforms, and operational processes into a unified, intelligent ecosystem. By linking production equipment, enterprise systems, IoT devices, and analytics platforms, integration enables seamless data flow, real-time monitoring, and centralized control of industrial operations.
This connectivity allows manufacturers to automate processes, optimize production schedules, and quickly respond to anomalies or equipment failures. Integrated systems also enhance predictive maintenance by combining sensor data with historical performance analytics, reducing downtime and extending equipment life.
In addition, system integration supports safety and compliance by unifying access control, environmental monitoring, and video analytics, ensuring that safety protocols and regulatory requirements are consistently enforced. By breaking down silos and enabling data-driven decision-making, systems integration increases efficiency, reduces operational costs, and improves overall agility in industrial environments.
We implement complete video management systems (VMS) with AI-powered video analytics modules and integrations with other systems, including access control, alarm systems, automation, smart lighting, and more.
Existing client systems are modernized through an “overlay” approach, enhancing them by adding missing functionalities without replacing the entire infrastructure.
Controlling intelligent lighting is a new application for Vision AI. By deeply understanding light parameters and environmental conditions both indoors and outdoors, the vision system can send signals to adjust the intensity or color of lighting. Events detected through video analytics can be “highlighted” using the lighting—for example, illuminating an incident area for security personnel, flashing lights to deter a perpetrator, guiding responders to a specific location, or supporting critical evacuation procedures.
We help organizations seamlessly migrate their video and data systems to the cloud — ensuring scalability, security, and performance. Our cloud migration services enable remote access, centralized management, and AI-driven analytics while reducing infrastructure costs and maintenance complexity.
Business Intelligence (BI) reporting transforms raw data into clear, actionable insights. It provides interactive dashboards and visual analytics that help monitor performance, identify trends, and support smarter, data-driven decisions across the organization.
+48 500125156
e-Motive Sp. z o.o.
Rymera 3/3, 40-480 Katowice, Poland
info@e-motive.pl