Roadly Analytics solutions
Roadly Analytics is a video analytics system for detecting events, dangerous and potentially dangerous situations (accidents, abandoned objects, fire, smoke, etc.); counting objects (pedestrians, vehicles), analyzing the situation (control of sterile zones, search for deviations, etc.) and technical monitoring.
Detection and counting of vehicles are implemented on the basis of a complex of neural networks optimized for running on a CPU or GPU.
The Roadly system allows you to quickly detect the facts of an accident and notifies the operator of the need to act according to the instructions.
Roadly ALPR is a highly accurate license plate recognition technology able to work with any surveillance camera in all kinds of challenging conditions. It also recognizes the color of the vehicle and the condition of the headlights.
A set of solutions for monitoring the availability and quality changes of the incoming video stream. Solutions recognize all major problems and allow you to quickly fix them.
Sterile zone is an area where the appearance of objects (people, animals, vehicles) is not allowed. Roadly allows you to automatically register such objects in sterile areas.
Traditional smoke detectors do not always work timely and accurately. Today, such detectors are being replaced by smart analytics systems.
The appearance of moving objects (pedestrians) in areas where their movement is prohibited can cause an emergency or traumatic situation. In addition, the presence of strangers in protected areas is an alarming signal. Roadly identifies these incidents and generates instant alerts so you can take action in a timely manner.
Driving into the oncoming lane or driving in a prohibited direction, including on one-way roads, is one of the most common causes of traffic accidents. Improving safety is possible by identifying the facts of such movement and taking timely measures.
Determination of the average speed of the traffic flow allows you to recognize the threat of congestion and traffic difficulties in advance. If the average speed falls regularly, this may also mean that the capacity of the road is insufficient. Identification and analysis of such cases allow timely measures to be taken to eliminate the causes of impeded traffic.
A foreign object in the lane is always a potential cause of dangerous situations. Both large and small objects can lead to an accident, because not all drivers respond to obstacles on time and correctly. Roadly allows you to quickly identify dropped and abandoned items and improve road safety.
Stopping the vehicle in places where it is prohibited can cause an accident or a traffic jam. Roadly allows you to detect stopped vehicles and notifies the operator about this.
Identification of congestion is one of the key tasks of optimizing traffic in a modern city. Congestion detection allows you to take timely action and prevent significant traffic disruptions even during peak hours.
Determining the traffic load at intersections is one of the key tasks in optimizing traffic in a modern city. Assessing throughput capacity, speed, and the types of objects passing through each specific intersection enables timely measures to be taken, preventing significant disruptions in traffic intensity, even during peak hours.
Counting objects on the road or in the adjacent area is one of the important tasks for optimizing traffic in a modern city. It involves comparing the throughput capacity of road sections, traffic lights, pedestrian crossings, and subsequently making adjustments.