Machine Vision vs. Microsoft Azure IoT Edge

Deployment of mission critical business support solutions particularly those that support virtual learning and video conferencing environments. This is because they help organisations such as the university to effectively transition to a digitally compliant organisation.

Incentivized

• It works even if there is no internet at client location. It will record all the generated data and only send them to cloud storage when there is internet connection.
• It allows you to bring cloud functionality down to Edge location in the form of docker container.
• It also supports two way communication from device to cloud and vice-versa.

Incentivized

• For some reason, the containerized architecture was also making this very hard
• Had some issues when debugging edge modules, needs a professional grade remote debugging
• Industrial automation still requires attention. OPC-UA was good but Modbus or custom PLCs etc was painful to set up

Incentivized

Most of the time it works perfectly, does not require any attention, but when there is a problem, it's really hard to diagnose it. I think the documentation for the positive scenarios are good on the Microsoft side, but for negative scenarios, I don't think there is enough community help out there, in my opinion.

Incentivized

The reason Behind this is the cost, as Microsoft provides solutions and integrations of services cheaper than AWS.

• Very valuable return on investment for IT capex committed to the deployment
• Improvements in overall organisational efficiency and agility
• Repositioning the organisation to become digitally transformed

Incentivized