K2150 Long-range motion / occupancy detector for lighting control and automation warehouses, urban and industrial buildings and territories
![k2150_1000_w.jpg](http://intelar.ru/wp-content/uploads/2019/09/k2150_1000_w.jpg)
Our K2150 motion / occupancy sensor provides the world’s best results in motion detection technology among similar products for general industrial purposes. It detects a person at a distance of 80m on an area of 3000 sq.m!
This sensor can be used in various fields: Smart city, Ind4.0, Car2X, Logistics, Lighting control, and any other automation systems that need information about the presence of humans and vehicles.
Key benefits in warehouses lighting control systems:
1. Energy savings in lighting systems are on average 3-4 times in warehouses and car parking lots.
2. The short payback period is about 1 year (the best result was 6 months).
3. One K2150 motion sensor saves up to 10 000 kWh of electric power and decreases emissions of СО2 in the atmosphere on 4 tones per year.
4. In warehouses one sensor controls an inter-rack aisle up to 85m long (detection of humans ) and up to 115 m long (detection of vehicles) – real cases!
![](http://intelar.ru/wp-content/uploads/2021/09/К2150-фото-склад-w-1024x491.jpg)
5. Our sensor is the only sensor that can operate:
- in warehouses from 3 to 30 m high
- in cooling, freezing, and high humidity warehouses.
6. In warehouses K2150 sensor replaces 3-5 high-bay motion PIR-sensors of the world’s best manufacturers.
![](http://intelar.ru/wp-content/uploads/2021/10/К2150-vs-PIR-new-Englw.jpg)
7. In autonomous solar-powered street lighting systems sensors allows to reducing the capacity of batteries by several times.
![](http://intelar.ru/wp-content/uploads/2021/10/К2151_solar_w.jpg)
8. Labeled as World efficient solution from Solarimpulse Foundation, Switzerland. This label proves that K2150 is both economical and ecological.
![](http://intelar.ru/wp-content/uploads/2021/10/SI_FOUNDATION_SOCIAL_MEDIAPACK_LABELED_SOLUTIONS_INDUSTRIAL_PROCESS_2020_PROD_Claim3_LN_ObrW.jpg)
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