J-Link PLUS Compact
Sold outUSB powered JTAG debug probe supporting a large number of CPU cores.
Based on a 32-bit RISC CPU, it can communicate at high speed with the supported target CPUs.
SEGGER J-Link PLUS Compact is used around the world in tens of thousand places for development and production (flash programming) purposes.
Overview
Get the SEGGER J-Link PLUS Compact debug probe: a compact version of the J-Link PLUS. Mounts securely & unobtrusively into development and end user equipment.
Based on 32-bit RISC CPU, it communicates at high speed with supported target CPUs.
Thanks to a small size with two mounting holes, it can be placed into existing equipment housings.
Space can also be reserved for direct-to-PCB mounting.
All major IDEs (Eclipse & GDB-based IDEs) support J-Link debug probes, as does SEGGER Embedded Studio. 500,000 J-Links have been shipped so far, making this probably the most popular debug probe on the market for Arm cores and the de-facto standard.
Further Advantages
The SEGGER J-Link PLUS Compact has a built-in VCOM functionality and integrated licenses for unlimited breakpoints in flash memory, RDI/RDDI and J-Flash. It supports direct download into RAM and flash memory. It has a broad range of supported microcontrollers and CPUs.
Box Contents
- SEGGER J-Link PLUS Compact debug probe
- Micro USB cable
- 1" 20-pin ribbon cable (18 cm)
- Includes free software updates and one year of email support.
SEGGER J-Link debuggers are the most popular choice for optimizing the debugging and flash programming experience.
Documentation
Debugging with the Arduino IDE 2.0
Learn how to set up a Zero board, J-Link and Atmel-ICE debuggers with the Arduino IDE 2.0, and how to debug a program.
Using the Segger J-Link debugger with the MKR boards
Learn how to set up a MKR board with the Segger J-link debugger.
Get Inspired
Debug your C33 with few steps
In July 2023, Samuel Alexander set out to reduce the amount of trash that gets thrown out due to poor sorting practices at the recycling bin. His original design relied on an Arduino Nano 33 BLE Sense to capture audio through its onboard microphone and then perform edge audio classification with an embedded ML model to automatically separate materials based on the sound they make when tossed inside. But in this latest iteration, Alexander added several large improvements to help the concept scale much further. Perhaps the most substantial modification, the bin now uses an Arduino Pro Portenta C33 in combination with an external Nicla Voice or Nano 33 BLE Sense to not only perform inferences to sort trash, but also send real-time data to a cloud endpoint. By utilizing the Arduino Cloud through the Portanta C33, each AI-enabled recycling bin can now report its current capacity for each type of waste and then send an alert when collection must occur. While not as practical for household use, this integration could be incredibly effective for municipalities looking to create a network of bins that can be deployed in a city park environment or another public space. Thanks to these upgrades, Alexander was able to submit his prototype for consideration in the 2023 Hackaday Prize competition where he was awarded the Protolabs manufacturing grant. To see more about this innovative project, you can check out its write-up here and watch Alexander’s detailed explanation video below.
