Edge Computing Jobs

I need an end-to-end face-recognition attendance solution that splits its workload between a Raspberry Pi at the edge and a lightweight cloud frontend. On the edge – The Raspberry Pi must run an optimised computer-vision model that can detect and recognise multiple faces in the same frame, then immediately tag each recognised person with a timestamp. All inference happens locally; only the processed results travel to the cloud, never the raw video. Model size, frame rate and power draw have to suit a typical Pi 4 with a standard camera module. Connectivity & data flow The Pi should expose a small, secure REST or MQTT service that pushes attendance events to the cloud and retries automatically if connectivity drops. A simple enrolment script should let me add new faces direc...

I am working on a concept of mainly "Preventive Maintenance using Sensors" For this I will Import sensors from China; Install at factories and Charge monitoring subscription in Maharashtra. I want guidance on below -- Which sensors to buy from these ones (dont want hypothetical answers like alibaba and some listed companies over it - that ChatGPT also gives: vibration sensors; temperature sensors; motor monitoring devices. Need exact compaby and specification and to which cloud platform as well as dashboard it would be fit for AI monitoring remotely. No ChatGPT answer please - I want someone who have actually worked on it or knows end-to-end. Next: Sensors + Edge device + AI software - which one to use and how? Wireless Vibration Sensors; Motor Condition Monitoring Advanced Se...