RPi5 equipped vehicle logger neoVI FIRE 3 COMPUTE
From AI utilization to logging! A vehicle logger that incorporates Raspberry Pi 5 to build a "Fleet in the loop."
The neoVI FIRE 3 COMPUTE is an in-vehicle computing logger that goes beyond traditional data collection interfaces, completing everything from data processing to AI analysis in a single unit. It directly integrates the "Raspberry Pi 5 Compute Module" with a multi-protocol compatible interface supporting up to 16 CAN FD and 8 LIN channels. This allows for real-time analysis using Python scripts and AI models, as well as advanced ECU simulation, without bringing a PC into the vehicle. It supports large-capacity storage for long-term test drives (up to 2TB SD cards or NVMe SSDs). With Wi-Fi and optional 4G communication capabilities, it enables automatic data uploads and remote control. This device is ideal for building a seamless remote development environment called "Fleet in the loop," using real vehicle data.
basic information
■Built-in Module: Raspberry Pi 5 Compute Module (CM5) ■Network Interface: - 16 × CAN / CAN FD (CAN SIC compatible, SW compatible termination resistor) - 8 × LIN - 2 × SW CAN / 2 × LSFT CAN - In-vehicle Ethernet (1Gb x2, 10/100 x1, DoIP compatible, etc.) ■Storage Performance: - Dual SD card slot (supports up to 2TB) - M.2 NVMe 2.0 SSD slot (user-replaceable, up to 4TB) - Onboard 64GB eMMC flash memory ■Communication and Other Specifications: - Operating temperature range: -40℃ to +85℃ - Built-in Wi-Fi (802.11a/b/g/n) - High-precision GPS, 9-degree-of-freedom IMU (accelerometer/gyroscope/magnetometer) - USB 3.0 ports × 4 - Generalized Precision Timing Protocol (gPTP) compatible ■Operation: Standalone (headless) operation without a PC
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Applications/Examples of results
■Building a Fleet in the Loop Environment Remote management of test fleets utilizing communication capabilities. Automatic data uploads and remote software updates significantly accelerate the verification process for the entire fleet. ■In-Vehicle Testing of Autonomous Driving and AI Models With the processing power of Raspberry Pi 5, large volumes of data from in-vehicle networks, including CAN FD, are filtered in real-time. Only important events are recorded, reducing data volume and analysis time. ■ECU Simulation and Verification Constructing test benches without actual vehicles and detecting ECU malfunctions through Restbus simulation. Autonomous execution of automatic diagnostic sequences is possible without a PC. ■Development of Next-Generation Vehicles (EV/Connected Cars) Ideal for long-term data logging and testing of increasingly complex in-vehicle networks, leveraging 16-channel CAN FD and gigabit in-vehicle Ethernet.
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In 1994, Intrepid Control Systems was established in the suburbs of Detroit, Michigan, and since then, we have been delivering the latest development tools that support various in-vehicle communication standards to customers around the world. We provide development tools for CAN/CANFD, LIN, Automotive Ethernet, BroadR-Reach, FlexRay, MOST, Keyword2000, ISO14229, ISO9141, UART, J1939, J1850, GMLAN, I2C, SPI, and more. Our customers range from large corporations included in the Fortune 100, major OEMs, to individuals. In addition to a global network of distributors, we have branches in the USA, Japan, China, India, Germany, the UK, and South Korea, where we offer direct sales and technical support. We also actively host seminars in the automotive industry, participate in exhibitions, and contribute in areas such as technical papers.