diff --git a/accelerometer-and-activity-projects/arduin-row-tinyml-rowing-machine-coach-arduino-nicla-sense.md b/accelerometer-and-activity-projects/arduin-row-tinyml-rowing-machine-coach-arduino-nicla-sense.md index deb0a575..73765284 100644 --- a/accelerometer-and-activity-projects/arduin-row-tinyml-rowing-machine-coach-arduino-nicla-sense.md +++ b/accelerometer-and-activity-projects/arduin-row-tinyml-rowing-machine-coach-arduino-nicla-sense.md @@ -1,7 +1,7 @@ --- description: >- Use an Arduino Nicla Sense ME and Edge Impulse model to determine your rowing - cadence and provide feedback via the IoT Remote app + cadence and provide feedback via the IoT Remote app. --- # Arduin-Row, a TinyML Rowing Machine Coach diff --git a/accelerometer-and-activity-projects/bluetooth-fall-detection-arduino-nano-33.md b/accelerometer-and-activity-projects/bluetooth-fall-detection-arduino-nano-33.md index a84da542..7b9e7ff0 100644 --- a/accelerometer-and-activity-projects/bluetooth-fall-detection-arduino-nano-33.md +++ b/accelerometer-and-activity-projects/bluetooth-fall-detection-arduino-nano-33.md @@ -1,7 +1,7 @@ --- description: >- - A client/server device to detect and analyze worker falls with Machine - Learning + A client/server device to detect and analyze worker falls with machine + learning and an Arduino Nano 33 BLE Sense. --- # Bluetooth Fall Detection @@ -26,7 +26,7 @@ Each worker has a small TinyML device in charge of detecting falls via the onboa ## Client Devices -The electronics part of the client build is easy: just a battery, a TP4056 and the Arduino Nano BLE 33 Sense. The board has an onboard accelerometer, onboard RGB led, and enough processing power to run an Edge Impulse library for inferencing locally. +The electronics part of the client build is easy: just a battery, a TP4056 and the Arduino Nano 33 BLE Sense. The board has an onboard accelerometer, onboard RGB led, and enough processing power to run an Edge Impulse library for inferencing locally. ![](../.gitbook/assets/bt-fall-detection/diagram.jpg) diff --git a/air-quality-and-environmental-projects/harmful-gases-detection-arduino-nano-33.md b/air-quality-and-environmental-projects/harmful-gases-detection-arduino-nano-33.md index 37776666..0f1c7cfc 100644 --- a/air-quality-and-environmental-projects/harmful-gases-detection-arduino-nano-33.md +++ b/air-quality-and-environmental-projects/harmful-gases-detection-arduino-nano-33.md @@ -1,5 +1,5 @@ --- -description: Detect harmful gases with Machine Learning and an Arduino Nano 33 BLE +description: Detect harmful gases with machine learning and an Arduino Nano 33 BLE plus gas sensor. --- # Bhopal 84, Detect Harmful Gases diff --git a/audio-projects/ai-patient-assistance-arduino-nano-33.md b/audio-projects/ai-patient-assistance-arduino-nano-33.md index df031cc5..b5764b12 100644 --- a/audio-projects/ai-patient-assistance-arduino-nano-33.md +++ b/audio-projects/ai-patient-assistance-arduino-nano-33.md @@ -1,7 +1,7 @@ --- description: >- - Keyword Recognition and Notification for AI Patient Assistance With Edge - Impulse and the Arduino Nano 33 BLE Sense + Keyword recognition and notification for AI patient assistance With Edge + Impulse and the Arduino Nano 33 BLE Sense. --- # AI-Powered Patient Assistance diff --git a/audio-projects/collect-data-keyword-spotting-raspberry-pi-pico.md b/audio-projects/collect-data-keyword-spotting-raspberry-pi-pico.md index 80e39fba..dbb38a63 100644 --- a/audio-projects/collect-data-keyword-spotting-raspberry-pi-pico.md +++ b/audio-projects/collect-data-keyword-spotting-raspberry-pi-pico.md @@ -1,5 +1,5 @@ --- -description: Collect audio data for your machine learning model on Raspberry Pi Pico. +description: Collect audio data for your machine learning model on a Raspberry Pi Pico. --- # Collect Data for Keyword Spotting with Raspberry Pi Pico and Edge Impulse diff --git a/audio-projects/gunshot-audio-classification-arduino.md b/audio-projects/gunshot-audio-classification-arduino.md index 9fc7a152..d383edf4 100644 --- a/audio-projects/gunshot-audio-classification-arduino.md +++ b/audio-projects/gunshot-audio-classification-arduino.md @@ -1,7 +1,7 @@ --- description: >- A proof-of-concept machine learning project for first responders, to detect - the sound of a gunshot + the sound of a gunshot. --- # Gunshot Audio Classification diff --git a/audio-projects/voice-activated-led-controller-raspberry-pi-pico.md b/audio-projects/voice-activated-led-controller-raspberry-pi-pico.md index 27873360..a6b372dc 100644 --- a/audio-projects/voice-activated-led-controller-raspberry-pi-pico.md +++ b/audio-projects/voice-activated-led-controller-raspberry-pi-pico.md @@ -1,6 +1,6 @@ --- description: >- - Build a voice-activated LED light strip controller on the cheap with Raspberry + Build a voice-activated LED light strip controller on the cheap with a Raspberry Pi Pico. --- diff --git a/image-projects/bean-leaf-disease-classification-sony-spresense.md b/image-projects/bean-leaf-disease-classification-sony-spresense.md index efe21a89..4c87f087 100644 --- a/image-projects/bean-leaf-disease-classification-sony-spresense.md +++ b/image-projects/bean-leaf-disease-classification-sony-spresense.md @@ -1,5 +1,5 @@ --- -description: A TinyML Approach for Bean Leaf Disease Classification using a Sony Spresense. +description: A TinyML approach for bean leaf disease classification using a Sony Spresense. --- # Bean Leaf Disease Classification - Sony Spresense diff --git a/image-projects/esd-protection-using-computer-vision-seeed-recomputer.md b/image-projects/esd-protection-using-computer-vision-seeed-recomputer.md index cbac3ebf..17294363 100644 --- a/image-projects/esd-protection-using-computer-vision-seeed-recomputer.md +++ b/image-projects/esd-protection-using-computer-vision-seeed-recomputer.md @@ -1,10 +1,10 @@ --- description: >- Use a Seeed Studio ReComputer and FOMO to detect if an operator has ESD risk - or protection when handling electronic components + or protection when handling electronic components. --- -# ESD Protection using Computer Vision +# ESD Protection Using Computer Vision Created By: Justin Lutz diff --git a/image-projects/label-defect-detection-raspberry-pi.md b/image-projects/label-defect-detection-raspberry-pi.md index 5a81b9b7..082b936d 100644 --- a/image-projects/label-defect-detection-raspberry-pi.md +++ b/image-projects/label-defect-detection-raspberry-pi.md @@ -1,8 +1,8 @@ --- -description: Automatic FOMO-based objects counting using computer vision and a web app. +description: Inspect printed labels for defects using computer vision and a Raspberry Pi. --- -# Automated Label Inspection With FOMO +# Automated Label Defect Detection With FOMO Created By: Shebin Jose Jacob diff --git a/image-projects/object-counting-for-smart-industries-raspberry-pi.md b/image-projects/object-counting-for-smart-industries-raspberry-pi.md index c71681c1..e7073b45 100644 --- a/image-projects/object-counting-for-smart-industries-raspberry-pi.md +++ b/image-projects/object-counting-for-smart-industries-raspberry-pi.md @@ -1,5 +1,5 @@ --- -description: Automatic FOMO-based objects counting using computer vision and a web app. +description: Automatic FOMO-based object counting using computer vision and a web app. --- # Adaptable Vision Counters for Smart Industries diff --git a/novel-sensor-projects/food-irradiation-dose-detection-dfrobot-beetle-esp32c3.md b/novel-sensor-projects/food-irradiation-dose-detection-dfrobot-beetle-esp32c3.md index b90b7d1a..fd1ca019 100644 --- a/novel-sensor-projects/food-irradiation-dose-detection-dfrobot-beetle-esp32c3.md +++ b/novel-sensor-projects/food-irradiation-dose-detection-dfrobot-beetle-esp32c3.md @@ -1,7 +1,7 @@ --- description: >- - Building a Food Irradiation detection device using a DFRobot ESP32, Geiger - Counter, and Visible Light sensor. + Building a food irradiation detection device using a DFRobot ESP32, Geiger + Counter, and visible light sensor. --- # Food Irradiation Dose Detection diff --git a/predictive-maintenance-and-fault-classification/refrigerator-predictive-maintenance-arduino-nano-33.md b/predictive-maintenance-and-fault-classification/refrigerator-predictive-maintenance-arduino-nano-33.md index d273e516..38777b47 100644 --- a/predictive-maintenance-and-fault-classification/refrigerator-predictive-maintenance-arduino-nano-33.md +++ b/predictive-maintenance-and-fault-classification/refrigerator-predictive-maintenance-arduino-nano-33.md @@ -1,5 +1,5 @@ --- -description: A machine learning model to detect a fault in a refrigerator immediately. +description: A machine learning model to detect a fault in a refrigerator by monitoring temperature and humidity. --- # Refrigerator Predictive Maintenance @@ -8,9 +8,7 @@ Created By: Swapnil Verma Public Project Link: [https://studio.edgeimpulse.com/public/115503/latest](https://studio.edgeimpulse.com/public/115503/latest) -## GitHub Repo - -[https://github.com/sw4p/Refrigerator\_Predictive\_Maintenance](https://github.com/sw4p/Refrigerator\_Predictive\_Maintenance) +GitHub Repo: [https://github.com/sw4p/Refrigerator\_Predictive\_Maintenance](https://github.com/sw4p/Refrigerator\_Predictive\_Maintenance) ![](../.gitbook/assets/refrigerator-predictive-maintenance/intro.jpg)