Smart Home with Home Assistant on OpenWrt
Introduction This blog will talk about how you can control your smart home appliances using
Month: October 2021
Tackling Data Gravity with AI and Machine Learning at the Edge with Ergsense
Smart energy monitoring has seen monumental advances with the advent of the Internet of Things
SLAMTEC RPLiDAR S2: New generation TOF radar with ultra-high standard sampling and precision for industrial scenarios
Compared with other series of laser scanners, we have introduced RPLIDAR from SLAMTEC with RPLIDAR
Smart Tea Plantation in Mengding Mountain Enabled by SenseCAP LoRaWAN to Augment Resource Efficiency and Customer Trust for SDGs
SenseCAP LoRaWAN gateway and sensors were deployed in the IoTea Project to monitor crucial environmental data needed to ensure the optimal tea quality in Ya’an of Southwest China. Through this Project, the overall tea plantation management costs have been lowered, economic yields have been increased, and the tea plantation’s brand image has been upgraded to attract customers who care about food traceability and sustainability. By doing so, the IoTea Project achieves the UN’s SDGs 8, 9, 12, 10, 11, 1, 5, 6, 7, 2, 4, 13, 15, 16 and 17.
Learn TinyML using Wio Terminal and Arduino IDE #6 Speech recognition on MCU – Speech-to-Intent
A traditional approach to using speech for device control/user request fulfillment is first, to transcribe
SenseCAP LoRaWAN in Triticale Farming: Precision Agriculture and Sustainable Livelihood Development in Dingzhou, Northern China
Beishao Triticale Field Project elaborates on a deployment scenario of SenseCAP LoRaWAN gateway and sensors for smart agriculture solutions in a triticale field of Dingzhou City in Northern China. This will advance resource-efficiency, environmental traceability, and sustainable technological applications on the field. As a result, this will facilitate self-empowerment of the farmers to manage their triticale fields more precisely by grasping the crop’s conditions and needs with less labor inputs, and later gain higher yields. Overall, this Project contributes to the UN’s SDGs 1, 2, 3, 4, 6, 7, 8, 9, 10, 11, 12 and 17.
Smart Home with Node-RED on OpenWrt
Introduction This blog will talk about how you can control your smart home appliances using
Fast(er) Machine Learning Inference on Raspberry Pi SBC – Four optimization techniques
A while ago I made a video on semantic segmentation with new Raspberry Pi HD