Page 97 - AI Standards for Global Impact: From Governance to Action
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AI Standards for Global Impact: From Governance to Action



                   are significant, challenges related to connectivity, power availability, and compact, embedded
                   design remain.

                   MountAIn has been able to address these challenges in their AI end-to-end infrastructure. At
                   its core is the IBEX device, a "digital watchman" specifically trained to monitor unique use case   Part 2: Thematic AI
                   parameters. As an advanced IoT imaging device, it has embedded AI processing while also
                   acting as a LoRa® gateway for additional data inputs. IBEX operates without a power source
                   or Wi-Fi, relying instead on solar energy. When required, events-based short messaging alerts
                   are sent to a user via satellite connectivity. Its versatility makes it a promising solution for a wide
                   range of scenarios, from managing urban assets to monitoring remote natural environments.
                   It is being used to automate monitoring the risks of fire hazards in forests and the olive fruit fly
                   in precision agriculture.




























                   Figure 42: MountAin IBEX


                   13�4�3  Building trustworthy local AI for healthcare at the edge

                   Embedl shared insights about how AI can be both powerful and private by operating securely
                   on local servers and edge devices rather than relying solely on the cloud by giving the example
                   of voice-enabled assistants in the healthcare domain.


                   13�4�4  Implementing edge AI in mission-critical industries

                   One important example of the need for edge AI is in the manufacturing sector. As intense
                   competition, skilled labour shortages, inflation, and stringent quality expectations rise,
                   manufacturers are increasingly turning to automation and more collaborative operation
                   between humans and robots.
                   This is leading to new health and safety concerns, such as the risk of physical collision, the
                   increased need for monitoring and oversight of often repetitive tasks, and the risk of system
                   failures or unexpected behaviour.










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