Before the COVID-19 pandemic, autonomous mobile robot (AMR) and autonomic guided vehicle (AGV) were changing the landscape across many industries - including healthcare, factory, warehouse, logistics and others. Undoubtedly, AMR and AGV can help deal with massive staffing shortages, and the need for social distancing in the post-pandemic era.
Artificial intelligence (AI) makes it possible for machines to learn from experience, adjust to new inputs and perform human-like tasks. AI will become an integral part of setting up and using AMRs, simplifying their deployment process and improving their workflow. Some AMRs are taking those smarts to the next level with artificial intelligence coupled with strategically placed cameras that function as extended robot sensors. With AI, AMRs can learn to adapt their behavior appropriately, even before they enter an area. This means they can avoid high-traffic areas during specific times, including when materials are regularly delivered and transferred by fork truck, or when large crowds of workers are present during breaks or shift changes.
The DRPC-230-ULT5 could endure up to 70°C operating temperature to deliver constant performance with CPU running steadily above its base frequency. The model with expansion layer provides rich I/O and PCIe x4 signal to support add-ons such as IEI acceleration cards (Mustang-V100-MX8 or Mustang-V100-MX4), opening the door to faster deployments of AI inference systems. The DRPC-230-ULT5 can connect to camera for visual recognition. It enables machine learning by using a variety of training models to simulate and infer the status or appearance of objects. For example, the inference system with the video analysis model can perform obstacle analysis for AMR.
DRPC-230-ULT5 | Fanless DIN-Rail Embedded System with Intel® Core™ CPU
Whiskey Lake Core™ i5-8365UE / Whiskey Lake Celeron™ 4205U