BME AI Studio
১০০+
ডাউনল’ড
সকলো
info
এই এপ্টোৰ বিষয়ে
The BME AI Studio is designed to work seamlessly with the BME688 development kit and related software (BME AI Studio desktop and BSEC) to fasten up and enhance the proof of concept with the BME gas sensor.
The BME688 is the first gas sensor with Artificial Intelligence (AI) and integrated high-linearity and high-accuracy pressure, humidity and temperature sensors. It is housed in a robust yet compact 3.0 x 3.0 x 0.9 mm³ package and especially developed for mobile & connected applications where size and low power consumption are critical requirements. The BME AI Studio tool (desktop and mobile App) enables customers to train the BME688 gas scanner on their specific application, like in home appliances, IoT products or Smart Home.
The BME AI Studio App connects to the BME688 Development Kit using Bluetooth. Once connected two modes of operation can be choosed:
1. Record & Label Data: raw gas sensor data is recorded with the BME688 Development Kit and the specimens can be labelled through the App. Prerequisite: board configuration file (.bmeconfig) must be copied on the SD card.
2. Live-Test Algorithm: the exported algorithm from BME AI Studio desktop can be or demonstrate live with real specimens. Prerequisite: a BSEC configuration file (.config) and an AI configuration file (.aiconfig) must be copied on the SD card.
In the Record and Label mode user can:
• see the current sensor state
• label the specimens
• see the recorded raw data
In the Live-Test mode user can:
• see the current prediction of each sensor (currently only four sensors at a time)
• set a class as current "Ground Truth" (for Classification Algorithms)
• open a full screen demo view
The BME688 is the first gas sensor with Artificial Intelligence (AI) and integrated high-linearity and high-accuracy pressure, humidity and temperature sensors. It is housed in a robust yet compact 3.0 x 3.0 x 0.9 mm³ package and especially developed for mobile & connected applications where size and low power consumption are critical requirements. The BME AI Studio tool (desktop and mobile App) enables customers to train the BME688 gas scanner on their specific application, like in home appliances, IoT products or Smart Home.
The BME AI Studio App connects to the BME688 Development Kit using Bluetooth. Once connected two modes of operation can be choosed:
1. Record & Label Data: raw gas sensor data is recorded with the BME688 Development Kit and the specimens can be labelled through the App. Prerequisite: board configuration file (.bmeconfig) must be copied on the SD card.
2. Live-Test Algorithm: the exported algorithm from BME AI Studio desktop can be or demonstrate live with real specimens. Prerequisite: a BSEC configuration file (.config) and an AI configuration file (.aiconfig) must be copied on the SD card.
In the Record and Label mode user can:
• see the current sensor state
• label the specimens
• see the recorded raw data
In the Live-Test mode user can:
• see the current prediction of each sensor (currently only four sensors at a time)
• set a class as current "Ground Truth" (for Classification Algorithms)
• open a full screen demo view
আপডে’ট কৰা তাৰিখ
বিকাশকৰ্তাসকলে আপোনাৰ ডেটা কেনেকৈ সংগ্ৰহ আৰু শ্বেয়াৰ কৰে সেয়া বুজি পোৱাৰ জৰিয়তে সুৰক্ষা আৰম্ভ হয়। ডেটাৰ গোপনীয়তা আৰু সুৰক্ষা প্ৰণালী আপোনাৰ ব্যৱহাৰ, অঞ্চল আৰু বয়সৰ ওপৰত ভিত্তি কৰি ভিন্ন হ’ব পাৰে। বিকাশকৰ্তাগৰাকীয়ে এই তথ্যখিনি প্ৰদান কৰিছে আৰু সময়ৰ লগে লগে এয়া আপডে’ট কৰিব পাৰে।
এপৰ সমৰ্থন
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+4971213535900