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Efficient operation of SMT placement machines relies on these industrial sensors.
Latest company news about Efficient operation of SMT placement machines relies on these industrial sensors.

In modern electronic manufacturing factories, SMT placement machines place components smaller than sesame seeds precisely onto circuit boards at a rate of tens of thousands of parts per hour. For such high-speed, high-precision operations, various sensors serve as the machine’s "eyes" and "nerve endings". Today, taking BOJKE sensor products as an example, let’s see how they perform their respective functions at each workstation of the placement machine.

 

Nozzle Pick-up Detection: Fiber Optic Sensor + Fiber Amplifier

Application Scenario: Within the confined space of the placement head, M3/M4 slim fiber cables enable flexible routing. The amplifier delivers high-speed response to detect whether the nozzle has successfully picked up components and verify component presence on the tape feeder. It achieves reliable detection even for ultra-small electronic parts.

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Height Measurement & Warpage Compensation: Laser Displacement Sensor

Application Scenario: With analog output, the laser displacement sensor measures the real-time height between the nozzle and PCB, and detects component thickness as well as substrate warpage. It assists the PLC in height compensation to guarantee proper mounting pressure.

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Tape Feeding Station: Color Mark Sensor

Application Scenario: The color mark sensor is specially designed to identify color marks or printed markers on component tape, to distinguish different electronic components or confirm PCB fiducial marks. It delivers better stability and reliability compared with ordinary photoelectric sensors.

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Detection of Tiny Components in Component Tape: Fiber Optic Sensor

Application Scenario: Inside the tape channel, slim fiber optics are used to detect the presence or absence of micro components. Featuring sensitive response and space-saving installation, they help check for missing parts on the component tape.

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Tape Counting & Broken Tape Detection: Slotted Photoelectric Sensor

Application Scenario: Mounted at tape reels, counting wheels and other positions, miniature U-slotted photoelectric sensors perform tape counting and detect missing components or broken carrier tape. Featuring simple structure and easy installation.

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Substrate Presence & Position Detection: Photoelectric Sensor

Application Scenario: WRGS slim photoelectric sensors, background suppression photoelectric sensors or compact laser photoelectric sensors are widely used to detect substrate presence and confirm PCB positioning on the conveyor track. Their ultra-thin form factor fits the tight clearances of SMT placement machines.

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Metal Part Limit Detection: Inductive Proximity Sensor

Application Scenario: SM series M8/M12 miniature proximity switches are installed on moving parts and limit positions of the track. They detect whether metal components are in place. With compact size, they support embedded mounting and deliver durable & reliable performance.

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Hazard Zone Intrusion Protection: Safety Light Curtain

Application Scenario: BOL series ultra-thin light curtains are installed at the access openings or guard door areas of SMT placement machines. Once hands or objects intrude into the hazardous zone, they instantly send NPN/PNP signals to the safety circuit to trigger an emergency stop, effectively protecting personnel safety.

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From placement heads to feeders, from conveyor tracks to safety protection, BOJKE’s full sensor product line delivers comprehensive technical coverage and provides solid support for the efficient operation of SMT placement machines.

Modern placement machines keep evolving toward higher speed, micro-component processing and greater intelligence. As the core underlying perception component of equipment, sensors play an increasingly vital role.

BOJKE has long focused on the industrial sensing sector. With stable-performance hardware and customized solutions, we empower customers to achieve steady advancement in intelligent manufacturing.

Pub Time : 2026-10-13 14:25:44 >> News list
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