diff --git a/accelerometer-and-activity-projects/hand-gesture-recognition-openmv-cam-h7.md b/accelerometer-and-activity-projects/hand-gesture-recognition-openmv-cam-h7.md index 8661e16f..56122cc6 100644 --- a/accelerometer-and-activity-projects/hand-gesture-recognition-openmv-cam-h7.md +++ b/accelerometer-and-activity-projects/hand-gesture-recognition-openmv-cam-h7.md @@ -1,7 +1,6 @@ --- description: >- - This project demonstrates how to train an ML model that can perform gesture - recognition using computer vision on Edge Impulse. + Train an ML model that can perform gesture recognition using computer vision on the OpenMV Cam H7. --- # Hand Gesture Recognition using TinyML on OpenMV diff --git a/air-quality-and-environmental-projects/indoor-co2-level-estimation-arduino-portenta-h7.md b/air-quality-and-environmental-projects/indoor-co2-level-estimation-arduino-portenta-h7.md index 6435cb90..23fef93a 100644 --- a/air-quality-and-environmental-projects/indoor-co2-level-estimation-arduino-portenta-h7.md +++ b/air-quality-and-environmental-projects/indoor-co2-level-estimation-arduino-portenta-h7.md @@ -1,7 +1,6 @@ --- description: >- - This project tries to estimate the CO2 level in an indoor environment by - counting the people in that environment using TinyML. + Estimate the CO2 level in an indoor environment by counting the people in the room using TinyML. --- # Indoor CO2 Level Estimation Using TinyML diff --git a/audio-projects/detecting-worker-accidents-syntiant-tinyml.md b/audio-projects/detecting-worker-accidents-syntiant-tinyml.md index 2ce08af4..40876b8f 100644 --- a/audio-projects/detecting-worker-accidents-syntiant-tinyml.md +++ b/audio-projects/detecting-worker-accidents-syntiant-tinyml.md @@ -1,6 +1,6 @@ --- description: >- - An Acoustic Sensing project that uses audio classification on a Syntiant + An acoustic sensing project that uses audio classification on a Syntiant TinyML board to listen for keywords, and take action via GPIO. --- diff --git a/image-projects/cyclist-blind-spot-detection-himax-we-i-plus.md b/image-projects/cyclist-blind-spot-detection-himax-we-i-plus.md index 50704338..2137ec08 100644 --- a/image-projects/cyclist-blind-spot-detection-himax-we-i-plus.md +++ b/image-projects/cyclist-blind-spot-detection-himax-we-i-plus.md @@ -1,7 +1,6 @@ --- description: >- - This project demonstrates low cost detection of cyclists in a blind spot on - large vehicles. + Use computer vision and a Himax WE-I Plus to detect cyclists in a blind spot on large vehicles. --- # Cyclist Blind Spot Detection diff --git a/image-projects/surface-crack-detection-seeed-reterminal.md b/image-projects/surface-crack-detection-seeed-reterminal.md index bcd24552..a26e92fb 100644 --- a/image-projects/surface-crack-detection-seeed-reterminal.md +++ b/image-projects/surface-crack-detection-seeed-reterminal.md @@ -1,6 +1,6 @@ --- description: >- - A computer vision system that detects and localizes the surface cracks in + A computer vision system that detects and localizes surface cracks in concrete structures for predictive maintenance. --- diff --git a/predictive-maintenance-and-fault-classification/faulty-lithium-ion-cell-identification-battery-packs.md b/predictive-maintenance-and-fault-classification/faulty-lithium-ion-cell-identification-battery-packs.md index 06655432..c24d0699 100644 --- a/predictive-maintenance-and-fault-classification/faulty-lithium-ion-cell-identification-battery-packs.md +++ b/predictive-maintenance-and-fault-classification/faulty-lithium-ion-cell-identification-battery-packs.md @@ -1,6 +1,6 @@ --- description: >- - A TinyML model using Edge Impulse and the Wio Terminal to predict faulty + A TinyML model using Edge Impulse and the Wio Terminal with a thermal camera to predict faulty lithium ion cells in a BMS pack. --- diff --git a/software-integration-demos/azure-machine-learning-kubernetes-compute-ei.md b/software-integration-demos/azure-machine-learning-kubernetes-compute-ei.md index dee6f648..d3cefcd8 100644 --- a/software-integration-demos/azure-machine-learning-kubernetes-compute-ei.md +++ b/software-integration-demos/azure-machine-learning-kubernetes-compute-ei.md @@ -1,7 +1,7 @@ --- description: >- Azure Machine Learning with Kubernetes Compute combined with Edge Impulse, for - a sample device-to-cloud ML application + a sample device-to-cloud ML application. --- # Azure Machine Learning with Kubernetes Compute and Edge Impulse diff --git a/software-integration-demos/ros2-part2-microros.md b/software-integration-demos/ros2-part2-microros.md index 321f11c6..6b967720 100644 --- a/software-integration-demos/ros2-part2-microros.md +++ b/software-integration-demos/ros2-part2-microros.md @@ -1,5 +1,5 @@ --- -description: This tutorial involves invoking an Edge Impulse ML model from within a publisher node in MicroROS. An Arduino Portenta H7 is used for demonstration. +description: Invoking an Edge Impulse ML model from within a publisher node in MicroROS, running on an Arduino Portenta H7. --- # ROS2 + Edge Impulse [Part 2]: MicroROS