Automotive electronics face an electrical environment that would destroy consumer hardware and a validation burden that consumer schedules would not survive. Faststream works on telematics, in-cab sensing, ADAS integration and the automotive Ethernet timing that keeps distributed sensor data coherent.
| Application | Platforms drawn on | Products involved |
|---|---|---|
| Fleet telematics units | Mobility & Rail, Connected Edge | Telematics hardware, cloud platform |
| In-cab driver monitoring | Mobility & Rail, Vision | Infrared imaging, edge inference |
| ADAS perception and integration | Mobility & Rail | Sensor fusion, edge compute |
| Vehicle network timing | Silicon | Precision Time Protocol IP, automotive Ethernet variant |
| CAN and protocol bridging | Silicon | Ethernet CAN-to-ALDL bridge IP |
| Connected fuel and dispensing | Connected Edge | NFC tank identification, nozzle reader |
Everything for this sector
Assembled from one registry rather than written per page, so a link added anywhere appears from both ends.
Because distributed sensors produce data that is only meaningful if timestamps across the vehicle agree. A camera frame and a radar return that disagree about when they were captured place an object in the wrong place, in proportion to relative velocity.
The electrical environment, principally — cranking dips and load dump — alongside vibration, temperature range and a validation burden set by the consequence of failure.
Tell us the specification, the constraint and the deadline. Programmes that cross silicon, radio, embedded and AI are where Faststream is strongest.