Running computer vision applications (or AI applications in general) can put a strain on an edge device, especially when combining models. Using a heat sink in conjunction with a fan is probably sufficient to keep the device from throttling, but it would be helpful to be notified before your device becomes this hot. Being alerted to potentially unsafe temperature enables you to stop your app before the device burns out, and to continue to monitor the temperature — giving you the option to restart the program when the device has sufficiently cooled off.
To that end, in tomorrow's Hacky Hour we'll demonstrate a utility class that enables you to track and record temperature readings, and which provides a summary of the collected data.
Additionally, you can ask us questions about setting up an edge device, building your CV application, or general inquiries related to computer vision and alwaysAI during Open Office Hour!
About alwaysAI:
alwaysAI brings deep learning computer vision (CV) to embedded devices. We provide developers an easy-to-use platform to quickly build and deploy deep learning CV applications on IoT devices like cameras, drones, wearables, robots, and transportation units. We give intelligent sight to these devices and enable them to autonomously make smart decisions in real-time.
Learn more at https://www.alwaysai.co
Sign up for alwaysAI at- https://alwaysai.co/register
See you next Thursday at 10:30AM PST for Hacky Hour! Join us live, sign up here- https://alwayscoding.eventbrite.com/