{"en":"Vehicle counting, classification, speed, weather and context. The input parameters a prediction model asks for and almost nobody actually measures.","it":"Conta veicoli, classificazione, velocita', meteo e contesto. I parametri di ingresso che un modello previsionale chiede e che quasi nessuno misura davvero."}
Ties every noise event to the flight that caused it. Planned variants: single receiver, with external antenna, with route database.
The second input parameter of any road model. Planned variants: Doppler radar, dual sensor, from video.
Telling a breaker from an excavator from a concrete mixer. Planned variants: 3 classes, 8 classes.
Explaining after the fact why there were 78 dB at 14:20. Planned variants: 1 frame/min, event triggered, with privacy blurring.
Wind, direction, temperature, humidity, rain: without them the measurement is open to challenge. Planned variants: 2 m mast, 10 m mast, compact station version.
A road noise model asks for two flows, not one. Planned variants: 2 classes, 5 classes (European).
The number almost nobody reports and the judge asks for. Planned variants: environmental, building, both.
Point sources in an urban setting. Planned variants: single, multi-bay.
Cycle lanes and 30 km/h zones: a growing urban planning market. Planned variants: 1 direction, 2 directions, with classification.
Data taken in the rain gets thrown away: here it throws itself away. Planned variants: optical, tipping bucket, built into the station.
From the measured figure to the map, without 8,000 euro of software. Planned variants: point source, line source, area source.
Noise at junctions depends on the cycle, not on the average flow. Planned variants: optical, radio, manual.
ISO 3095 railway pass-by, unattended. Planned variants: inductive, optical, vibration.
An environment where standard optical sensors fail. Planned variants: inductive, radar, hybrid.
Extension of the launch product. Planned variants: 1 lane, 2 lanes, bidirectional, four-arm junction.