Every industry asks different questions – baiond answers them in your words.
All industriesWe build the data journey for your case – let’s talk.
One data layer, seven functions, answers in plain language.
All functionsTwelve sensor families, every variant, and the ones we build for you.
All sensorsTraffic sensors count and classify what passes a road, a crossing or a cycle path: cars, trucks, bikes, pedestrians, their speed and the hour they come. The data behind signal timing, school-route safety and the air quality next to the road.
A traffic count once a year tells a city what happened on a Tuesday in May. Sensors on the road count every day: how many vehicles, which kind, how fast, and when the peak really comes. Planners see whether the new cycle lane is used, operators whether the crossing at the school gets busier at 07:45.
Radar and cameras sit on existing poles, loops and magnetic sensors in the road surface; the readings reach the baiond Gateway by radio or the existing network. The Space System places each sensor on its junction, so a question like "Is the crossing at the primary school getting more dangerous?" is answered with near misses per week, compared with last month.
Pick the variant that fits the place. Whatever you choose, the readings arrive in the same platform and answer the same questions.
A loop in the road surface that feels every vehicle passing over it.
The loop sits in the asphalt and registers the metal of a vehicle as a change in its magnetic field. It counts very accurately and is the classic trigger for traffic lights. Installing or repairing it means cutting the road.
Measures speed and distance by radio waves, from the roadside.
Mounted on a pole or gantry, a radar sensor measures the speed, distance and presence of vehicles without touching the road. Rain, fog and darkness barely affect it, which makes it the steady choice for flow monitoring and speed displays.
Magnetometer
A small puck that notices vehicles by their magnetic footprint.
A magnetometer detects the disturbance a vehicle causes in the Earth's magnetic field. It is small, runs on little power and sits in the road or at the kerb. Cities use it for counting, simple classification and to show which parking bays are free.
AI camera
Counts and tells apart cars, trucks, bikes and pedestrians.
A camera with image analysis classifies each road user, measures flow and queue length and flags near misses. The baiond AI camera does the analysis on the device and sends counts, not video. It needs a clear view and weatherproof mounting, but no road works.
Feels axle weight in the road to classify heavy traffic.
Laid under the surface, the piezo strip produces a signal under the weight of each axle. It counts, classifies by axle and weight and supplies the numbers for weight limits and the wear planning of roads and bridges.
Measures travel times between two points, anonymously.
Two sensors along a route pick up the anonymised signals of devices in passing vehicles. The time between both points gives travel time and average speed, and over weeks the typical routes. It shows patterns, not individual trips.
Measures the air next to the road: NOx, CO and particulates.
Placed at the roadside, it measures the pollutants traffic leaves behind. Together with the vehicle counts it shows whether the air follows the rush hour and whether a speed limit or a new route helps.
Every variant at a glance, with the protocols the readings travel on.
| Variant | Measures | Typical use |
|---|---|---|
| Inductive loop | Vehicle count, presence | Junctions, signal control |
| Radar traffic sensor | Speed, count, gaps | Through roads, school zones |
| Magnetic sensor | Presence, count, parking occupancy | Parking bays, side roads |
| Video traffic sensor | Counts by type, speed, queues, near misses | Crossings, cycle paths, junctions |
| Piezoelectric sensor | Axles, weight class, count | Bridges, access roads, heavy traffic |
| Bluetooth / Wi-Fi sensor | Travel time, average speed | Corridors, event traffic |
| Traffic emission sensor | NOx, CO, particulate matter | Busy streets, schools, low-emission zones |
Data sheets (radio, power supply, protection class) for the variant that fits your site come with the quote. Request data sheets
A question this sensor answers, the way baiond answers: readings, reasons, a recommendation and the source.
The sensor reports to the baiond Gateway, the Space System puts the reading in context (location, threshold, history), and the AI agent turns it into an answer.
Source: Traffic camera · Visual Classification · Space System
Yes, measurably. The camera counted 23 close passes between cars and cyclists this week, against 9 a week last month, most of them around 07:45. Only counts and paths are stored – no images, no faces, no number plates.
Raise it with the traffic department and ask for a temporary 30 km/h limit or a crossing guard between 07:30 and 08:00. baiond reports whether the count drops afterwards.
Shall I break the count down by weekday?
Looking closer. This is what the data shows:
Possible reasonsThe sensor reports to the baiond Gateway, the Space System puts the reading in context (location, threshold, history), and the AI agent turns it into an answer.
Source: Traffic camera · Visual Classification · Space System
Understood. I keep watching School crossing · Camera north and let you know if anything changes.
Where this sensor carries the answer.
Yes. A camera or radar with classification separates cars, trucks, bikes and pedestrians, so the cycle lane and the zebra crossing get their own numbers.
Only loops and piezo strips go into the surface. Radar, cameras and Bluetooth sensors mount on an existing pole.
No. The baiond AI camera analyses the image on the device and sends counts and classes only; no footage is stored.
Yes. An emission sensor beside the counter lets baiond show the pollutants next to the traffic curve, hour by hour.
Tell us the place and the question. We name the variant, the quantity and what it costs.
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