In today's world, technology can provide cost-effective solutions to improve public safety. Edge computing and artificial intelligence (AI) can be leveraged to this end. By integrating applications for locating the crime scene and alerting first responders, detecting firearms, analyzing behavior, and even predicting criminal activity using advanced AI calculations, public safety solutions can make our communities safer places to live. With these advancements, we can bridge the gap between the police force and the public, enabling quicker response times and more efficient crime prevention strategies.
Criminal prediction and investigation by GPU rackmount system
Artificial intelligence can even be deployed to lower the crime rate and investigate criminal cases. To train the predictive models, server-grade systems are required. The mass amount of data on criminal behavior-related factors can be used to train the models, like social media posts, criminal records, time, weather, location, economic status, etc. With the prediction, the police force can put more focus on hot spots and prevents crimes from happening. In addition to prediction, AI has been also assisting police with investigations. AI algorithms can analyze videos more efficiently and save time and labor to decrease the workload for police. The result of the analytics can be cross-checked with other clues and evidence for law enforcement. Similar solutions have been field proven and they are expected to be utilized in more communities around the world.
Introducing Axiomtek's iHPC300, the ultimate GPU workstation for complex AI applications. Powered by the 3rd Generation Intel® Xeon® Scalable processor, with three PCIe x16 and three PCIe x8 slots to support multiple accelerator cards, this 4U rackmount platform offers unparalleled processing performance. With six DDR4 slots and a memory capacity of up to 384 GB, the iHPC300 can easily handle a large amount of data and demanding AI workloads. It also features six SATA3 ports and one M.2 Key M slot for NVMe module, making it an ideal choice for storing and analyzing real-time data from multiple sources. Whether you're analyzing records or training complex AI models, the iHPC300 is purpose-built to deliver the performance you need.
Intelligent fence for school safety
People trespassing into school is a big worry for teachers and parents; they may jeopardize the safety of the students. So, the first step is to detect them in the first place and prevent them from entering school. In this case, smaller edge AI systems can give a hand. Edge systems with IP cameras and AI algorithms can construct intelligent fences around campus. The algorithms can identify suspicious and intolerable behaviors such as climbing over the walls, being violent to students or hovering outside the school with face covered. As these behaviors last for a certain length of time, the systems can automatically notify security by signaling the guard room.
In this use case, the edge AI system is better at being able to work under harsh environments and process large amounts of video streams and images quickly with the high-performance. With the compact and fanless edge system, the purpose-built RSC201 would be a feasible choice. What sets it apart is that the RSC201 is based on the SoM, Xilinx Kria K26, which has better memory efficiency. Therefore, it can run multiple algorithms simultaneously with low power consumption, which suits the cases for improving public safety. The platform supports 5G connection to reduce latency with an M.2 Key B slot and SIM socket. Also, it is optimized for processing multiple streams of 4K videos with ultra-low latency, making it a cost-effective choice for the application. It provides two USB, one COM and one LAN port for smart devices like cameras and sensors. It has a wide operating temperature from -30°C to 75°C to work under harsh environments.
Real-time suspicious intent alert
In the future, we expect AI and edge computing can give citizens a more reliable sense of safety. With a more high-speed platform at the edge, it can help halt the suspicious intention or intimidation at the moment of happening in time. A powerful edge platform can run more advanced AI algorithms such as distinguishing potential inappropriate behaviors, stalking, or stolen car detection. Once the behaviors are assessed by the algorithms as suspicious intents, via digital input and output, the system can trigger smart streetlights to flash continuously to get attention as a way of looking for assistance. Meanwhile, the system would notify the police command center to take a closer look or decide whether to dispatch first responders when necessary as soon as possible.
The smart city safety solutions may need multiple platforms, to make the whole solution efficient, we recommend the palm-size edge system, the RSC101. The platform is based on the Intel® Celeron® processor J6413 and the performance is optimized by the Hailo-8™ AI processor. It has two LAN ports for IP cameras and provides 5G connection with an M.2 Key B slot; the four SMA-type antenna connectors enhance the data transmission for real-time safety procedures. The 8-CH DIO makes it compatible with other smart devices like streetlights. What’s more, it has a wide operating temperature from -10°C to +70°C, so it can be deployed and function in nearly every city around the globe. Also, it is merely one KG and is flexible to install.
In conclusion, the use of edge computing and AI holds promise in enhancing crime prevention through its capability to promptly analyze data from multiple sources. With its ability to enable faster response time and more precise identification of potential threats, edge computing has the potential to reinforce the prevention of inappropriate activities and enhance public safety.
