Autel CSC0802-10 Corner Reflector | US Version
Autel CSC0802-10 US Version — Radar Calibration Accessory OE-Sized Corner Reflector for Supported Calibration Procedures The Autel CSC0802-10 is an OE-sized corner reflector for radar calibration on supported Toyota, Honda and Subaru vehicles, including Blind Spot Monitoring (BSM) systems. The North American part number is 802-10. Product identity: CSC0802-10 corner reflector, supplied as the US Version. Purpose: A calibration accessory for procedures that specify this reflector. Warranty: Covered by a one-year limited warranty. Choose by Vehicle and Calibration Procedure Autel identifies the CSC0802-10 for Toyota, Honda and Subaru radar calibration applications. Confirm the specified reflector for the vehicle and system being serviced before ordering. The CSC0802-11 is a different reflector identified for Hyundai and Mazda applications. Similar appearance does not establish that the two models are interchangeable. Send the vehicle year, make, model and required calibration to support@autel-us.com so we can help check the application before purchase. Check Your Existing Equipment Before Adding Accessories The reflector, stand and corner laser are separate products in Autel's OE-sized corner reflector accessory range. This listing is for the CSC0802-10 reflector. CSC0800 stand: Includes the stand, base and attachment handle. Sold separately. CSC0802-13 corner laser: A battery-powered laser emitter that attaches between the stand and an applicable corner reflector. Sold separately. These accessories alone do not define a complete calibration setup. Required diagnostic equipment, software, positioning tools and preparation depend on the vehicle and procedure. Before ordering, email support@autel-us.com with your existing Autel tablet, software and calibration equipment so we can help check what you need.
Specifications
- Style
- CSC0802-10 US Ver
Variants (1)
- CSC0802-10 US Ver — 199.99 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.