HALIOS® Series, Reflective - Analog Output

Package / Case
Output Type
Sensing Distance
Current - Collector (Ic) (Max)
Response Time
Sensing Method
Mounting Type
Voltage - Collector Emitter Breakdown (Max)
Current - DC Forward (If) (Max)
Results remaining1
Applied Filters:
ImageProduct DetailPriceAvailabilityECAD ModelMounting TypeCurrent - DC Forward (If) (Max)Package / CaseResponse TimeSensing MethodOutput TypeSeriesSensing DistanceCurrent - Collector (Ic) (Max)Voltage - Collector Emitter Breakdown (Max)
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PCB Symbol, Footprint & 3D Model
Surface Mount
50 mA
4-SMD, No Lead
PIN Photodiode
0.394" ~ 0.787" (10mm ~ 20mm) ADJ

About  Reflective - Analog Output

The analog output reflective optical sensors consist of an optical emitter and a light-sensitive element, usually a phototransistor, arranged in close proximity and facing the same direction. This configuration allows the emitted light from the optical emitter to be reflected by objects within the sensor's field of view and detected by the light-sensitive element. Unlike other types of optical sensors, such as digital output sensors that provide a simple on/off signal, analog output sensors directly deliver the signal produced by the photosensor without much processing. This means that the output of these sensors is proportional to the intensity of the detected light, providing a continuous range of values. Analog output sensors require the user to interpret the output signal and determine object detection based on their own mechanism or algorithm. The interpretation can involve setting thresholds or analyzing the signal variation to detect the presence, absence, or characteristics of objects. These sensors are commonly used in applications where a continuous range of measurements is required, such as distance sensing, line following, edge detection, and object detection in industrial automation, robotics, and consumer electronics. By providing a direct analog output, these sensors offer flexibility and customization to users, allowing them to implement their own algorithms and decision-making processes based on the specific requirements of their application.