AVEDEX software is designed for video-based automatic analysis of vehicle and pedestrian traffic. The software supports large variety of video cameras and optical layouts, and is capable to process video images received from environments with severe weather conditions. AVEDEX does not rely on physical sensors to count the vehicles and it does not require to be set up by specially trained personnel.
AVEDEX classifies vehicle transport in up to 13 categories, measures the average speed of the vehicle traffic flow and informs about occurrence of traffic jams. The software offers high operational efficiency with relatively low system requirements.
 Reliable operation – the accuracy reaches 99% due to the implementation of neural networks |
 Flexibility – works with multiple optical layouts and in severe weather conditions |
 Simultaneous processing of up to 100 video streams, accelerated mode for video file processing |
 Tracking the direction of vehicle movement at intersections (vehicle route) |
 Does not require development of dedicated infrastructure – can utilise cameras that are already installed |
 Exporting statistics in docx, xlsx, xml, csv formats and automatic sending of scheduled reports to the drive, via Email and FTP |
AVEDEX software can be utilised as a part of large-scale Smart City project and for development of intelligent transportation systems. AVEDEX collects and analyses the traffic flow data. This information can be used for monitoring, modelling and forecasting of the traffic flow.
Сounting of pedestrian traffic
Counting of vehicle and pedestrian traffic without classification of vehicles
Counting of vehicle and pedestrian traffic with classification of vehicles in 4 categories
Counting of vehicle and pedestrian traffic with classification of vehicles in 13 categories
Processing and analysis of vehicle and pedestrian traffic based on provided video materials with classification of vehicles in 5 or 13 categories
Software and necessary equipment for portable use during counting of traffic for a given section of the road
Developer of intelligent traffic control systems. The company creates its software products based on neural networks of deep learning and machine vision technologies. All products are constantly being refined. Mallenom Technologies has been a resident of Skolkovo Innovation Centre since 2017.
