IoT-For-Beginners/translations/pcm/4-manufacturing/lessons/3-run-fruit-detector-edge/wio-terminal.md

Classify image wit IoT Edge based image classifier - Wio Terminal

For dis part of di lesson, you go use di Image Classifier wey dey run for di IoT Edge device.

Use di IoT Edge classifier

Di IoT device fit redirect to use di IoT Edge image classifier. Di URL for di Image Classifier na http://<IP address or name>/image, replace <IP address or name> wit di IP address or host name of di computer wey dey run IoT Edge.

Task - use di IoT Edge classifier

1. Open di fruit-quality-detector app project if e never open before.

2. Di image classifier dey run as REST API wey dey use HTTP, no be HTTPS, so di call go need use WiFi client wey fit work wit only HTTP calls. Dis one mean say certificate no dey needed. Delete di CERTIFICATE from di config.h file.

3. Di prediction URL for di config.h file go need update to di new URL. You fit also delete di PREDICTION_KEY because e no dey needed.

   const char *PREDICTION_URL = "<URL>";
   

   Replace <URL> wit di URL for your classifier.

4. For main.cpp, change di include directive for di WiFi Client Secure to import di standard HTTP version:

   #include <WiFiClient.h>
   

5. Change di declaration of WiFiClient to di HTTP version:

   WiFiClient client;
   

6. Find di line wey set di certificate for di WiFi client. Remove di line client.setCACert(CERTIFICATE); from di connectWiFi function.

7. For di classifyImage function, remove di httpClient.addHeader("Prediction-Key", PREDICTION_KEY); line wey dey set di prediction key for di header.

8. Upload and run your code. Point di camera go some fruit and press di C button. You go see di output for di serial monitor:

   Connecting to WiFi..
   Connected!
   Image captured
   Image read to buffer with length 8200
   ripe:   56.84%
   unripe: 43.16%
   

💁 You fit find dis code for di code-classify/wio-terminal folder.

😀 Your fruit quality classifier program don work well!

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Disclaimer:
Dis dokyument don translate wit AI translation service Co-op Translator. Even as we dey try make am accurate, abeg sabi say machine translation fit get mistake or no dey correct well. Di original dokyument for im native language na di main source wey you go fit trust. For important mata, e good make professional human translator check am. We no go fit take blame for any misunderstanding or wrong interpretation wey fit happen because you use dis translation.