VIDEO IMAGE ANALYTICS
Deep learning and object recognition provide accurate counting and classification of all types of mobility. This permits using the technology not just for counting and classifying vehicle, but also for studying other types of mobility, such as pedestrians, cyclists and public transport passengers.
BLUETOOTH MAC CAPTURE
Detecting hands-free sets, audio devices, phones and other Bluetooth devices through inquiry is the most classic vehicle tracking method.
WI-FI MAC CAPTURE
Capturing broadcast messages from SmartPhones and other Wi-Fi devices adds more samples, and is a good add-on to BT.
BLE MAC CAPTURE
Bluetooth Low Energy is, by far, the most efficient technology at this time. Devices like SmartWatches, AirPods, FitBits and more use BLE. The advertisement packages transmitted are also the fastest to detect.
DATA FUSION
Combining spot data from video image analytics and spatial data from MAC address tracking provides another dimension to the traffic data; it gives us a more complete picture of the mobility around us.
DeepBlue VIA is a Video Image Analyser that uses object recognition to accurately count and track the mobility in a limited area, for instance around an intersection. An NVIDIA Graphical Processing Unit allows using our powerful deep learning algorithms to recognize, count and classify not just the cars, vans and trucks, but also buses, motorbikes, bicycles and pedestrians.
DeepBlue VIA can be integrated as a software component on any NVIDIA-based platforms, or be delivered as a complete Video Detector.
The DeepBlue V-model – a unique small roadside sensor for Bluetooth, BLE and Wi-Fi tracking. The ideal maintenance-free, non-intrusive sensor for getting online travel time information and origin/destination information for improved infrastructure planning.
The small, sleek design allows quick mounting on poles or mast-arm, making it very suitable for an urban environment, or interurban roads. An auto-configured, easy-to-install side-fire Sensor that detects the wireless signals from vehicles; from hands free sets, smart phones and GPS systems.
The DeepBlue D-model – a unique roadside sensor for Bluetooth, BLE and Wi-Fi tracking with specially designed antennas for covering up to 16 lanes of traffic from the side of the road. The ideal maintenance-free, non-intrusive sensor for getting online travel time information and origin/destination information for improved infrastructure planning.
The small, sleek design allows quick mounting on poles or mast-arm, making it very suitable for an urban environment, or interurban roads. An auto-configured, easy-to-install side-fire Sensor that detects the wireless signals from vehicles; from hands free sets, smart phones and GPS systems.
The DeepBlue R-model – a small DIN-mounted roadside sensor for Bluetooth, BLE and Wi-Fi tracking for cabinet integration. The ideal maintenance-free, non-intrusive sensor for getting online travel time information and origin/destination information for improved infrastructure planning.
The small, sleek design allows quick mounting on poles or mast-arm, making it very suitable for an urban environment, or interurban roads. An auto-configured, easy-to-install side-fire Sensor that detects the wireless signals from vehicles; from hands free sets, smart phones and GPS systems.
The Virtual Control Center is the centralized software for interpreting wireless probe data in the most efficient way for providing robust travel-time information for motorized vehicles during all traffic conditions. The system is designed for generating travel times, congestion alarms and traffic data. The VCC uses real-time data quality assessment, and adapts the data intervals according to the statistical probe quality. The system offers a series of different algorithms and filters to adjust to all types of roads and infrastructure.
The Virtual Control can be deployed in all environments, and can be tuned to meet the different challenges found in a large urban, interurban or full metropolitan area. The VCC algorithms. Each individual vector within a project can be tuned to meet the conditions of the surrounding infrastructure. The tuning can involve configuring a multitude of filters, or using a different algorithm altogether.
trafficnow has been dedicated to real-time traffic information for more than a decade, and offers the best in roadside detection by combining vehicle tracking systems with data collection and vehicle classification.
Data from all detectors, including both our detectors and other sources can be aggregated in the Virtual Control Center platform. We support completely autonomous, on-premises installations of the platform, ensuring that the clients get full protection of their data.
We also assist in ITS in project management and design, as well as offering turn-key solutions involving everything from site analysis to communication and alternative energy sources.
Your favorite business partner in ITS projects.
If you are interested in ITS systems for traffic management connect with trafficnow.
mobilitynow offers turn-key Data as a Service solutions for temporary data and OD matrix collection for before/after studies and for traffic and event planning.
This is done in partnership with local companies dedicated to data collection, and through the design of a complete all-in-one Bluetooth/Wi-Fi/BLE sensor which includes data transmission and one-week autonomy.
The sensor is mounted in just 3 minutes, minimizing the time spent preparing a project.
Traffic counting and classification is done using post-processing on video images.
This makes mobilitynow your partner of choice for a great variety of temporary studies for analyzing the mobility around us.
If you are interested in traffic studies and temporary installation connect with mobilitynow.
Av. Italia 1439, of. 307
Providencia, Santiago, Chile
M: +56 9 42509120
Traffic Network Solution, S.L. is a registered member of the Bluetooth Special interest Group (SIG); holder of the trademark [Bluetooth]
DeepBlue Sensor is a registered trademark
of Traffic Network Solutions SL
(c) 2021 Traffic Network Solutions, S.L.
Barcelona
Traffic Network Solutions, S.L. has received funding by organizations such as ENISA and CDTI (NEOTEC II) to support its innovative efforts.
