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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.
As Environmental, Health, and Safety (EHS) rends evolve, addressing compliance challenges and improving monitoring mechanisms is crucial for workplace safety. Innodisk's FPGA solution, with multi-channel real-time video processing and hardware acceleration, transforms PPE compliance enforcement. The FPGA's versatility supports applications from PPE inspection to use in harsh environments like acid and alkali labs, offering exceptional adaptability and performance across industries.
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.
An American manufacturer faced recording issues with their SSD-based surveillance system, experiencing periodic drops in data writing speed that caused video lag and graininess. Innodisk identified the problem as interruptions from firmware processes and designed a customized SSD with firmware optimized for surveillance recording. Testing showed the new solution ran smoothly without interruptions, ensuring high-quality, continuous footage for critical applications.
Streetlights provide safety and security in our modern 24/7 world. With the critical consideration of every facet of public service delivery, streetlights are being targeted for potential electrical cost savings and the added value of remote environmental monitoring enabled through AIoT devices within the application. The challenge is sourcing computing hardware that can withstand outdoor operation and environmental monitoring devices to collect air quality data.
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