Adafruit
Through Hole Inline Pogo Pin Header - 9 Pins with 0.1" Spacing
Pogo pins are little spring-loaded contacts, very handy for making jigs, or making momentary (but electrically solid) contacts. We use them by the dozen for ...
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Pogo pins are little spring-loaded contacts, very handy for making jigs, or making momentary (but electrically solid) contacts. We use them by the dozen for making programming and testing jigs but they're handy also if say you want to JTAG program a board that you can't solder headers to.
Most pogo's come as individual pins, that must be soldered into a jig to make contact. But maybe your board has 0.1" spacing already and you don't want to make a custom PCB? In that case you can use this Pogo Pin "Header" strip, with 9 pogos in a row with 2.54mm / 0.1" spacing. There's thin stems that could be soldered into a proto or perf board. The tops are rounded and individually springy
You could snap or cut these to make smaller bits but you may lose a pogo pin in between so keep that in mind.
Comes with a single in-line 9-pin pogo header.
Check out our tutorial on how we make pogo-pin jigs!
Jargon buster
Plain-language definitions for the technical terms used above.
- Headers
- Rows of connector contacts on a fixed pitch (commonly 2.54 mm) used to link a board to a breadboard, jumper wires, or another board. They come as male pin headers and female socket headers; when a module ships with pre-soldered headers it can be used straight away, whereas bare pads require soldering the pins yourself.
- JTAG
- JTAG is a hardware debugging and programming interface used to inspect and control chips at a low level. It matters for advanced development because it can help diagnose firmware problems that are hard to see through normal serial output.
- PCB
- A printed circuit board (PCB) is a board, usually rigid, with etched copper tracks that connect electronic components together without loose wiring. Components are mounted on the board and signals route between them through the copper layout.
- TOPS
- TOPS means trillions of operations per second, often used to describe AI accelerator performance. It helps compare whether a computing module is suited to lightweight image recognition or more demanding neural-network workloads.
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