Ford recalls 1M+ vehicles over software glitch in rear cameras

Ford may not be alone in facing software-driven recall issues, but it continues to lead in overall recall volume. (2 min. read)

Author

Marcus Amick
May 29, 2025

Ford $F ( ▲ 1.57% ) just can’t seem to shake its recall troubles, and this latest one involves more than 1 million vehicles.

The details: The recall affects 1,075,299 Ford and Lincoln models, and is caused by a software issue that could cause the rearview camera image to malfunction when the vehicle is in reverse.

  • The recall includes 2021-2024 Bronco and Edge; 2022-2024 Expedition; 2022-2025 Transit; 2021-2023 Mach-E; 2023-2024 Escape; and the 2024 Ranger and Mustang.

  • Several Ford trucks are also included like 2021-2024 F-150 and 2023-2024 F-250, F-350, F-450, F-550, F-600.

  • Among Lincoln vehicles, the recall includes 2021-2023 Nautilus; 2022-2024 Navigator; and 2023-2024 Corsair. 

What they’re saying: “A frozen rear-view camera display image while in reverse can create a false representation of where the vehicle is relative to its surroundings, increasing the risk of a crash,” stated the U.S. Department of Transportation, National Highway Traffic Safety Administration.

The fix can be performed by an Over-the-Air (OTA) update, so drivers don’t have to visit the dealership unless they want to.

Between the lines: The recall system itself is becoming software-defined.

  • In 2014, just 12% of U.S. auto recalls involved software. By 2023, that number had nearly doubled to 23%. 

  • And in Q1 2025 alone, electrical systems and backover prevention tech (exactly the category Ford’s camera issue falls into) were among the top reasons vehicles were recalled.

Why it matters: Ford may not be alone in facing software-driven recall issues, but it continues to lead in overall recall volume. The automaker was responsible for nearly one in three recalls last quarter, according to BizzyCar.

Big picture: Unlike mechanical parts, automotive software faces endless edge cases, environmental variables, and hardware decay that make real-world performance harder to predict. And, unsurprisingly, automakers are scaling complexity faster than they’re scaling quality.

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