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Truck operators have high hopes for self-driving technology, which promises to keep vehicles on the road and fully utilize vehicle investments. Indeed, autonomous vehicle developers are already investing heavily in this emerging technology. Their greatest challenge is finding rock-solid computing hardware to provide uninterrupted operation under heavy AI computing workloads and extreme temperatures.
Innodisk partners with a global leader in automated driving systems to develop an AI training server for Level 4 autonomous vehicles. To tackle fast access and humidity challenges, Innodisk provides the DDR4 3200 16GB RDIMM Wide Temperature Module with Coating Technology, ensuring stability and high-speed real-time analysis. This solution enhances performance, safety, and efficiency, advancing automated driving technology for a safer and more efficient transportation future.
Innodisk and its subsidiary Aetina partnered to provide a surveillance-optimized storage and AI platform for an Australian manufacturer of automated garbage trucks. The manufacturer sought to reduce accidents and errors in their single-operator trucks, where a robotic arm handles waste bins. The smart 360-degree surveillance system uses AI for object detection, enabling the robot arm to react to environmental changes, preventing accidents and enhancing performance.
Innodisk and its subsidiary Antzer Tech partnered to address positional tracking challenges for bus networks in New York City. Due to the interference of GPS signals from tall buildings and metal structures, traditional systems struggled to provide accurate bus locations. The collaboration aimed to improve tracking accuracy, ensuring reliable real-time bus location data for commuters.
A major European manufacturer of smart driving devices faced reliability issues with their consumer-grade storage, leading to inaccuracies in speed limit and road condition data. By adopting Innodisk’s industrial MicroSD cards, the company resolved these issues, enhancing the reliability, efficiency, and accuracy of their devices while improving the security of sensitive data.
As the demand for electric vehicles (EVs) grows, efficient and reliable EV charging infrastructure becomes essential. Innodisk supports this with technology tailored for EV charging applications. To manage charging piles across districts, stable back-end monitoring systems are crucial. Innodisk’s DDR4 16GB RDIMM DRAM enhances the reliability and efficiency of these servers, ensuring accurate tracking of user charging and power consumption.
Australia's vast rail network faces challenges in public safety. To improve security, authorities installed DVR systems with IP cameras for surveillance. These AIoT devices require fast storage and memory for efficient video capture and analytics. An Australian IT company partnered with Innodisk for high-performance storage and DRAM solutions that ensured seamless integration and secure data management for the surveillance systems.
A Chinese truck manufacturer partnered with Innodisk to develop a data recording solution for vehicles transporting hazardous materials. Reliable data storage and connectivity to the onboard CAN Bus system were essential for gathering operational data. This data, transmitted in real-time to a centralized location, enabled efficient fleet management to ensure safety, monitor driver behavior, and mitigate risks such as over speeding, overloading, or route deviations.
Innodisk collaborated with a Chinese manufacturer of electronic toll collection (ETC) machines to develop a system with automatic recovery. As ETC systems replace manned toll booths, ensuring uptime is critical. When downtime occurs, automatic recovery is essential, as remote locations make engineer response time slow. The solution utilized InnoOSR’s Auto-Reboot mode to enable rapid recovery within minutes.
A European rail operator aimed to enhance customer experience, safety, and connectivity by integrating a new monitoring and Wi-Fi system. With increasing challenges in onboard monitoring and customer satisfaction, operators seek solutions like infotainment and monitoring systems. However, finding the right solution for their needs remains a key obstacle to innovation, despite strong interest in enhanced connectivity.
Dump trucks must operate 24/7 to meet raw material demands, but driver fatigue increases accident risks. Smart dump trucks are an autonomous solution that can keep working 24/7, maximizing output while eliminating the potential risks of tired drivers and operators. The challenge with fitting AI-powered computing to the dump trucks is sourcing computing hardware and parts that can withstand harsh outdoor conditions.
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