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Case Studies
112
Supplier
1
Use Cases
2
Case Studies
112
Smart City Public Safety
Smart City Public Safety
Amyx+ worked with a local government authority to develop an Internet of Things-enabled public safety strategy. In the current state, vigilance meant manually scanning through potentially hundreds of analog surveillance videos feeds. Manual, costly and ineffective, the local agency desired to transition from analog to digital CCTV, apply computer vision and other technologies to automatically detect potential crime in progress, expedite and streamline emergency calls and integrate with personal wearables to ensure the safety of their citizens.
Safety First with Folksam
Safety First with Folksam
The competitiveness of the car insurance market is driving UBI growth as a means for insurance companies to differentiate their customer propositions as well as improving operational efficiency. An insurance model - usage-based insurance ("UBI") - offers possibilities for insurers to do more efficient market segmentation and accurate risk assessment and pricing. Insurers require an IoT solution for the purpose of data collection and performance analysis
Underground Mining Safety
Underground Mining Safety
The goal was to produce a safety system to monitor and support underground mining operations; existing systems were either too simple (i.e. phone line) or overly complex and expensive, inhibiting deployment, and providing little-to-no support in event of an accident. Given the dangerous nature of the mining work environment and the strict regulations placed on the industry, the solution would have to comply with Mine Safety and Health Administration (MSHA) regulations. Yet the product needed to allow for simple deployment to truly be a groundbreaking solution - increasing miner safety and changing daily operations for the better.
Suppliers
1
viAct - Top AI Video Analytics for Industrial Safety
viAct - Top AI Video Analytics for Industrial Safety
viAct is a leading ESG-focused AI company that provides “Scenario-based Vision Intelligence” solutions for the AEC industry across Asia, Europe & Middle East. With hundreds of deployments since its inception in 2016, viAct’s proprietary AI algorithms have evolved successfully providing extremely granular insights in jobsites by transforming vision to practical actions. Our 30+ pre-built AI modules enable the stakeholders to reduce the number of accidents, optimize costs and track environmental non-compliances. As a “Forbes Asia 100 To Watch 2022” & "2023 Technology Pioneer by the World Economic Forum", viAct’s disruptive AI navigation solution is one-of-a-kind approach to manage man-made environments in a far smarter way than humans do!
Use Cases
2
Food Safety Management
Food Safety Management
Food safety management aims to heighten and maintain product quality by monitoring storage conditions of food items and by increasing traceability. As food storage is generally time and temperature sensitive, maintaining and checking storage conditions is essential to food safety. This includes temperature monitoring, condition checking and tracking the movement of ingredients and products across the supply chain. Combining sensor data points with predictive analytics can help to predict the growth of pathogens before an outbreak occurs. Companies can also connect harvesting, processing and transportation equipment to the Internet through smart sensors. These sensors can detect biochemical and chemical reactions during the harvesting, manufacturing, and transportation stages, allowing identification and removal of molds and bacteria before they move down the supply chain. In addition to ensuring food safety, such measures can also improve the dining experience by enabling farm to table service.
Onsite Human Safety Management
Onsite Human Safety Management
Onsite human safety management refers to a collection of systems, processes, and tools, that ensure worker safety at construction, manufacturing, or other industrial sites. They are commonly used in industries that have hazardous materials or heavy vehicles or assets moving in close proximity to people, such as in construction and aerospace. The introduction of IoT devices improves the level of visibility into employee health and safety. Intelligent wearables such as watches, helmets, and vests can continuously capture vital physical metrics like heart rate, skin temperature, movement, activity, and location. In parallel, environmental sensors record critical information about working conditions and potential dangers. By leveraging an advanced analytics platform situational data from sensors can be distilled into actionable insights that are visualized at a management console or on mobile devices. In addition to identifying potential workplace hazards, time series data enables better decision-making related to the design of facilities to systematically reduce EHS risks.

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