Hitex SafeTpal – Qualified Development for AURIX™ & RISC-V
Hitex presents SafeTpal, an integrated framework comprising software, hardware, consulting, and training for safety-critical embedded systems. The suite supports AURIX™ TC3xx as well as Infineon's next-generation microcontrollers based on RISC-V, enabling a seamless transition from iLLD to qualified drivers. The demo at the booth showcases the entire workflow: from modeling in Matlab/Simulink to code generation and testing on the miniHIL system – implemented on the SafeTdevboard with AURIX™ TC3xx. SafeTpal's nomination for the Embedded Award (category Safety & Security) underscores the solution's innovative strength.
Class 3.2. Cyber Resilience Act (CRA) – Practical Implementation Examples (Wed, 11.03. 14:00–17:00)
Dr. Norbert Paul, Senior Software Developer, shows the impact of the CRA on embedded systems and provides knowledge on TrustZone, Trusted Firmware, and bootloaders via practical examples.
„From 8-Bit to AI: 50 Years of Embedded Excellence"
Under this motto, Hitex combines its company anniversary with three additional trade fair highlights that illustrate technological development from its beginnings to AI:
Custom Gaming on Arm® Cortex-M: 8-Bit Look, Modern Engineering
A retro gaming demo in 8-bit design on a modern Arm® Cortex-M0+ showcases 100 percent Hitex engineering – from hardware to software. As an official Arm® distributor, Hitex has been offering tools, engineering services, and training for Arm/Keil technology for nearly 40 years.
“Machine Learning - Face ID Demo” on the Infineon PSOC Edge E84 with Arm Cortex-M
Real-time recognition on an IoT Edge Device. Facial recognition running directly on-device using a state-of-the-art object detection model - fast, efficient, and privacy-friendly with Edge AI. As a Preferred Design House for PSOC™, AURIX™, and TRAVEO™, Hitex offers support.
Conference: “Integrating Edge AI in Safety-Critical Embedded Systems" (Tue, 10.03. 16:00–16:30)
Eranyan Ravanan, Senior Staff Engineer for Field Applications, demonstrates how Edge AI can be reconciled with safety requirements (ISO 26262, IEC 61508). This structured approach uses separate system designs, safety checks for AI processes, and diagnostics for neural network hardware.
Visit us: March 10–12, 2026, embedded world Nuremberg, Hall 4, Booth 205