In the evolving landscape of video surveillance, artificial intelligence is no longer an optional upgrade—it is the foundation of next-generation safety systems. Oleh Pypko, founder and CEO of OLTEC Inc., explains how the company’s intelligent NVR and DVR platforms redefine what video recorders can do, transforming raw footage into actionable intelligence that enhances traffic safety, public security, and operational efficiency.
“Modern cities need systems that don’t just record,” Oleh Pypko says. “They must understand what they see—identify vehicles, detect anomalies, and deliver real-time insight. That’s where OLTEC stands out.”
AI-Driven Video Analytics Built-In
At the heart of OLTEC’s new generation recorders, such as the OLTEC NVR-7132N, lies powerful embedded processing and AI-enhanced analytics. The unit supports up to 36 channels of 4K video, H.265AI compression for efficient storage, and a customized Linux-based platform designed for 24/7 reliability. More importantly, it includes built-in intelligent analysis functions—such as face detection, human detection, and passenger-flow statistics—which operate seamlessly with OLTEC or third-party ONVIF-compliant IP cameras.
These capabilities allow the NVR not only to record events but also to interpret them. It can distinguish between people and vehicles, trigger alarms based on defined behaviors, and generate real-time analytics reports that help operators act immediately. “This integration means you don’t need a separate analytics server,” Oleh Pypko notes. “Our recorders already think for you.”
Vehicle Recognition and Road Safety
Oleh Pypko emphasizes that OLTEC’s approach to road safety goes far beyond simple license-plate capture. Inspired by advances in AI and ALPR (automatic license plate recognition), OLTEC’s systems integrate deep-learning models that can identify a vehicle’s make, model, color, and type—even when a plate is missing or obscured. This holistic recognition model is vital for city authorities, police, and transport departments striving to manage growing traffic volumes and enforce safety regulations efficiently.
“Artificial intelligence allows us to interpret the traffic scene as a human would,” Oleh Pypko explains. “We analyze behavior, speed, and classification in real time—providing alerts for violations or unusual patterns before accidents happen.”
OLTEC’s analytics also integrate with radar, GPS, and cloud platforms, creating a unified ecosystem for speed detection, parking management, and incident reporting. These smart integrations reduce infrastructure costs, bandwidth use, and latency, while giving operators forensic search capabilities across millions of records.
From Raw Data to Actionable Insight
As Oleh Pypko highlights, “Collecting video is easy. Turning it into intelligence is what makes a system valuable.” Each OLTEC NVR or DVR is designed to convert vast amounts of data into structured, searchable, and meaningful information. Whether monitoring passenger flow in a transit hub or tracking traffic trends across an entire city, OLTEC’s AI delivers clear dashboards, automated alerts, and long-term statistical analysis.
This transformation aligns with a global trend in data-driven policing and smart-city management. By using AI at the edge—directly within the recording device—OLTEC minimizes dependence on external servers, offering faster response times, stronger privacy protection, and scalable deployment for municipalities and enterprises alike.
A Vision for Safer, Smarter Cities
For Oleh Pypko, intelligent video technology is not just about surveillance—it’s about empowerment. “Every frame we analyze helps create safer intersections, more efficient transport systems, and more secure communities,” he concludes. “OLTEC’s mission is to bring that intelligence everywhere—from small businesses to entire cities.”
Through innovation in embedded analytics, seamless cloud integration, and multi-layer AI recognition, OLTEC Inc. continues to bridge the gap between traditional video recording and true situational awareness—delivering the tools cities and organizations need to protect people, vehicles, and infrastructure in real time.
