Tinker 2.1" CANBUS Digital Gauge Display

Tinker 2.1" CANBUS Digital Gauge Display

Brand: CarChains3D LLC
SKU: tinker-2.1-canbus-gauge
250.00 USD In stock Buy at Merchant

The Tinker 2.1" CANBUS Digital Gauge Display brings advanced vehicle monitoring and control into a compact, versatile package. Featuring a 2.1" display area with a 72mm overall gauge size, it also includes an adapter for installation in standard 52mm (2-1/16") gauge mounting locations with multiple mount locations, making it easy to integrate into existing gauge pods, dash panels, and custom interiors. Designed for performance, racing, and custom automotive applications, the Tinker 2.1" Gauge combines quick startup, configurable layouts, CANBUS communication, and supported two-way communication (with supported platforms) in one clean display. Choose from four configurable layouts per layout pack and change your layout at any time to suit your setup. Dedicated EGT and system overview pages provide quick access to critical vehicle information, while customizable alarms help keep you aware of important conditions. More than just a display, the Tinker Gauge also supports CAN switches and two-way communication with supported platforms, allowing compatible vehicle systems to be monitored and controlled directly through the gauge. Features 2.1" display area 72mm overall gauge size Includes adapter for standard 52mm (2-1/16") gauge mounts Quick boot time CANBUS communication Four configurable layouts per layout pack Change layouts at any time Dedicated EGT page System overview page CAN switches Customizable alarms Adjustable brightness Two-way communication with supported platforms Single SD card slot for updates From street cars and performance builds to dedicated race cars, the Tinker 2.1" CANBUS Digital Gauge provides a clean, compact way to bring vehicle data, alerts, and CAN-based controls together in one easy-to-view display.

Variants (1)
  • Default Title — 250.00 USD — In stock

How AI sees this product

The more complete this product's details, the more confidently AI assistants can understand and recommend it.

84%