FLiP-Pi-Thermal
mlx90640-library
FLiP-Pi-Thermal | mlx90640-library | |
---|---|---|
4 | 3 | |
3 | 128 | |
- | 0.0% | |
0.0 | 2.8 | |
over 1 year ago | 2 months ago | |
Python | C++ | |
Apache License 2.0 | Apache License 2.0 |
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FLiP-Pi-Thermal
mlx90640-library
- FLiP-Py-Pi-GasThermal: Building an IoT Edge Application with Apache Pulsar and Python for TVOC and CO2 Ingest
- FLiP: Py: Pi: Gas Sensor + Thermal IoT Example
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[facial authentication] Intel® RealSense™ ID F455 / F450
A few months ago, I was playing with a thermal sensor array, r/JetsonNano/.../mlx90640_32x24_interpolated_to_640x480_on_the. The price has gone from ~$70 to $129 since last Spring, link (demand). The image displayed would have been in about 1 m from the sensor. If I were to have a cup of coffee close to the sensor, I would get more accurate high temps. If I were to have a cup of coffee a couple meters back, the max temperature read would be decreased (due to what I presume are resolution issues/ nature of the sensor; also note I was working with scaled data). I think I saw some code at github.com/pimoroni/mlx90640-library that would be helpful as it would segment areas of elevated temperature; which could be useful to you.
What are some alternatives?
pulsar-thermal-pinot - Apache Pulsar - Apache Pinot - Thermal Sensor Data
RealSenseID - Intel® RealSense™ ID SDK
minifi-gasthermal - MiNiFi for Gas Sensors and Thermal Cameras
StreamingAnalyticsUsingFlinkSQL - FLiP: StreamNative: Cloud-Native: Streaming Analytics Using Apache Flink SQL on Apache Pulsar
FLiP-PulsarSummit2022Asia - FLiP-PulsarSummit2022Asia: Pulsar Summit Asia 2022
FLiP-Py-Pi-GasThermal - Apache Pulsar, Python, Raspberry Pi, Gas + Thermal Sensors, Apache Flink, Trino/Presto SQL
airquality-consumer - AirQuality Apache Pulsar Consumer
spring-pulsar-reactiveair - Reactive Spring Example for Apache Pulsar
airquality - Spring Boot, JDK 11, Apache Pulsar 2.9.1, REST, AirNow
airquality-datastore - AirQuality DataStore - ScyllaDB