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About brianchen
since
01-09-2024
06-11-2024
brianchen
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03-15-2024
03:50 PM
I found there're data confusion when I switch from cafe to clean air. When I try to collect data in pure cafe and clean air, and cut the data while transfering space, it got much better result.
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03-15-2024
03:46 PM
Share my learning experience: 1. Read Datasheet and Application Note first 2. Use Kit and AI Studio, and practice to training AI to recognize differnt smells 3. port API to my board 4. port BSEC to my board Not difficult. Good documents. Thanks!
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03-15-2024
05:04 AM
Dears, I'm testing BME688 in initial 150 pcs batch production and compare to previous 10 pcs development sample. BSEC Software lib version is 2.4 works with BME688 API lib (from github). Ported to running on ATMEL SAMG55. I have a sample made 1 month ago, and the other 10 pcs made this week. I test it in same environment. The two batch sample running with my bsec_config_selectivity[1974], that is training to recognize 1 pollution air and 1 clean air. We put 11 pcs (includes 1 engineering sample(marked as Golden) and 10 pre-MP samples(marked as New)) in a space to test. With comparing to the training definition, the golden response correct result, but the new 10 pcs report total different. This really confuses us. The record also shows the two groups get very different results. Here's the chart and attched excel raw data for every min. Please advise. Thank you in advanced.
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02-16-2024
06:29 AM
Hi, I'm using BME688 with BSEC 2.4.0.0. I train the sensor to detect Oolong Tea and Clean Air. In general cases, it can identify that sensor is placed in a tea box or in a open air area. But when I put the sensor outside the box and I use little alcohol to clean desk, the sensor report that it has detected the tea. I'm confused with the performance. I'm using 2 estimation now (clean air and tea), should I add a type called Alcohol in training specimen to improve it?
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