Most Viewed Projects on Seeed Project Hub in June

Highlight Projects from the Community~

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Most Viewed Projects on Seeed Project Hub in June

Post by lily.li » Tue Jul 09, 2019 2:32 pm

Hi Community,
This's a new entry of the Most Viewed Projects on Seeed Project Hub column. If you're new here, it is a monthly wrap-up of 5 projects with top views and likes that have been uploaded to Seeed Project Hub, a platform that we collaborated with Hackster.io for all Seeed users to share cool projects with the whole community.
So, let's head to the top 5 viewed projects in June to see what type of cool tinkerings were popular on Seeed Project Hub.

Matchbox-Sized P2P Remote Accessible Camera with ESP32 by crgregersen
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How to make a small, low-cost surveillance camera – including app and device source, with ESP32-CAM or ESP32-EYE + Omnivision camera. Learn more details about the project here.

OneTouch by Team CodersCafe: Shebin Jose Jacob, Nekhil ravi

Biometric door locks are now common with increased security levels and ensure the protection of our door locks. But there are two things that prevent the use of biometric locks. One is the cost of the lock which may start from $300. The other one is the lack of remote access. So let's add some IoT flavor to make the biometric door lock more spicy. Learn more details about the project here.

Grass Cutter Robot by umesh dutta, Himanshu Sinha, Deepak Singh, Drishti dua, riya raina, Kajol Thakur, Texas Instruments University Program, Energia, devdutt


An Internet-controlled robot that can cut the grass of a garden area with ease and efficiently. Learn more details about the project here.

Home Safety Bot by Team HomeSafety: Chandran N, Ayush Saran, Chandravaran Kunjeti, Tarun Hegde, Subham Mohapatra
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A line follower bot which can detect gas leaks and high temperature in a typical household and raise an alarm. Learn more details about the project here.

Skin Cancer AI by Team Blue Scan: Peter Ma, Sarah Han, Josue, serena xu, Phil Levy, Shterny Isseroff
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Real-time offline AI for skin cancer detection. Learn more details about the project here.

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