Banner Engineering Q25SP6FF100Q EZ-Beam Photoelectric Sensor

Banner Engineering Corp.Model:Q25SP6FF100Q
Location unavailable
Proximity Sensor
Qty:1
Condition: New
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Controlview Automation
Controlview Automation

Seller since: Feb 2026

At a glance

Product
Banner Engineering Q25SP6FF100Q EZ-Beam Photoelectric Sensor
Manufacturer
Banner Engineering Corp.
Model
Q25SP6FF100Q
Category
Proximity Sensor
Condition
NEW
Availability
In stock
Price or process
Request price
Quantity
1
Lead time
Not provided
Location
Location unavailable
Fulfillment
Shipping only
Listed on

Key specifications

Connection Type
M12 Quick Disconnect
Ingress Protection Rating
IP67
Light Source
Visible Red LED
Maximum Load Current
100mA
Operating Temperature Max
70°F
Operating Temperature Min
-40°F
Output Type
PNP
Response Time
1ms
Sensing Distance
100mm
Sensing Mode
Fixed-Field
Supply Voltage
10-30 VDCV DC

Supporting evidence

No supporting documents or certifications provided.

Description

The Banner Engineering Q25SP6FF100Q is a compact, fixed-field photoelectric sensor from the EZ-Beam series, designed for reliable object detection in industrial automation applications. This sensor utilizes visible red light for precise detection up to 100 mm, ignoring objects beyond the setpoint to reduce false triggers from backgrounds. It features a robust thermoplastic housing with IP67 rating for dust and water resistance, making it ideal for harsh environments like manufacturing lines, packaging, and material handling systems. Key benefits include easy installation with no adjustments needed, PNP output for compatibility with PLCs, and quick-disconnect connectivity for fast maintenance. Compared to similar sensors from competitors like Sick or Omron, the Q25 offers superior immunity to optical noise and a wider operating temperature range, though it may have a slightly higher power consumption. Drawbacks include limited range compared to diffuse models and dependency on target reflectivity. Overall, it's a cost-effective choice for non-contact sensing tasks, enhancing efficiency and reducing downtime in automated processes.
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