Safety & Compliance
Use IoT to maintain employee safety and welfare
With cloud connectivity and computing being so pervasive, Health and Safety officials are looking to innovations in IoT technology to further improve employee welfare and alleviate concerns around work-related injuries and subsequent compliance, or rather non-compliance, scrutiny.
Wherever you look in manufacturing plants, warehouse and distribution facilities, utilities companies or transportation, to name a few, there’s a huge potential of danger and personal injury to individual workers and end consumers alike.
With a string of strategic acquisitions in this area around data analytics and Fog computing, Cisco are positioning themselves to be a leading player in the IoT space. Cisco already has the industry’s most reliable, scalable, high-performance portfolio of IoT networking solutions, including ruggedized routing, switching and wireless products, plus software-only solutions that can be integrated with third-party devices. Options for connecting ‘Things’ now including wired (Ethernet), indoor/outdoor WiFi (802.11, Bluetooth LE), and routed via 3G/4G/LPWAN networks.
As a Cisco IoT authorized partner, we work with a number of selective eco-system partners to provide solutions that enable Health and Safety officials to improve employee safety by providing meaningful data to better predict and mitigate potential hazards.
Whether risks emanate from employee error or simply the hazardous environment they are operating in, the ability to inter-connect devices that provide sensory and detection capabilities are invaluable in providing organisations with the data they require to improve health and safety; reducing incidents in real time whilst providing significant insight to develop performance metrics through the use of predictive analytics.
For those in manufacturing, many will be aware of terms like “Industry 4.0” or “Industrial IoT”, whereby organisations for example are already seeing the benefits of deploying temperature and vibration analysis to monitor machinery to assist in the prevention of safety incidents, reduce down-time through being able to predict failures and schedule maintenance that causes the least disruption to operations, or potential disaster.