SKU SEN0271/B
HRXL-MaxSonar-WRLT MB7386 Ultrasonic Distance Sensor
by DFRobot
Original price
€193,25
-
Original price
€193,25
Original price
€193,25
€193,25
-
€193,25
Current price
€193,25
All prices are VAT included
Availability:
in stock, ready to be shipped
Availability:
Out of stock
Availability:
On order
The weather resistant MB7386 HRXL-MaxSonar-WRLT has millimeter resolution and a 6Hz read rate, and provides short to long distance detection and range information from 500mm to 9999mm for the nearest detectable target. It includes various output options: pulse-width, analog voltage, and TTL serial .
The MB7386 from the HRXL-MaxSonar-WR line of outdoor sensors is a rugged ultrasonic sensor component module. This sensor comes in a compact and robust PVC housing which meets the IP67 water intrusion standard and matches standard electrical 3/4-inch PVC pipe fittings.
The HRXL-MaxSonar-WR sensors are factory calibrated to match narrow sensor beam patterns and provide reliable long-range detection zones.
In addition, the MB7386 offers virtually noise free distance readings through the use of high-output acoustic power combined with continuously variable gain, real-time background automatic calibration, real-time waveform signature analysis, and noise rejection algorithms. This holds true even in the presence of many of the various acoustic or electrical noise sources.
The MB7386 from the HRXL-MaxSonar-WR line of outdoor sensors is a rugged ultrasonic sensor component module. This sensor comes in a compact and robust PVC housing which meets the IP67 water intrusion standard and matches standard electrical 3/4-inch PVC pipe fittings.
The HRXL-MaxSonar-WR sensors are factory calibrated to match narrow sensor beam patterns and provide reliable long-range detection zones.
In addition, the MB7386 offers virtually noise free distance readings through the use of high-output acoustic power combined with continuously variable gain, real-time background automatic calibration, real-time waveform signature analysis, and noise rejection algorithms. This holds true even in the presence of many of the various acoustic or electrical noise sources.