The cheapest CM4 is the Lite version with 1 GB of RAM, no wireless, and no onboard storage, and that'll run just $25. You can find all the details on the Raspberry Pi website, but here are the highlights: More Options: There are now thirty two different Compute Module flavors to choose from, whether you want onboard WiFi or not, whether you want eMMC storage, or whether you want 1, 2, 4, or even eight gigabytes of RAM!.What's that? Oh yes, there's now a version of the Compute Module with Bluetooth and WiFi! WiFi and U.FL: It has an external antenna connector for its wireless interface.PCI Express: It drops the USB 3.0 interface for a PCI Express interface, meaning you can do some pretty cool things in lieu of having a couple USB 3.0 ports.Faster eMMC: It has optional onboard eMMC storage, which is now much faster than any microSD card I've tested.But the Compute module has a few other tricks up its sleeve: Instead of the ports, you plug the Compute Module into another board with its special board-to-board connectors. The Compute Module 4 is basically a Raspberry Pi 4 model B, with all the ports cut off. There would also be a Telegram bot which allow control to the LED lights in the office, check value of sensor values such as the temperature and also allowing employee to get their QR code image if they happen to lose their QR code image or forgot their pin by requesting and getting their QR code image from AWS S3 Bucket.Update: I also did a Live Q&A and Demo Video which has another hour of content going deeper into things I couldn't cover in the review! Compute Module 4 Overview The webpage would also be able to control the office lights and also view a live stream of CCTV of the office. In the cases that the verification may be misused, we would take picture of whoever is having failed verification and store the person’s image onto AWS S3 Bucket.Ī webpage would be able to view DHT, light, motion detected photos and video of the office. There are two methods to do so which are via a pin code sequence and a QR code verification. It would require the employee to verify their identity before they are allowed access into the office. Raspberry Pi 2 would be used at the door. Raspberry Pi 1 would be the main machine which will take in all the values from the sensors, publishing the data via MQTT, storing data into cloud database which we are using DynamoDB and running the web portal server. 2 Raspberry Pi 3 Model B would be setup for this.

OfficeHelperBOT is an application targeted towards a smart office setting.

Parallels 2x raspberry pi