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Dobrica Pavlinušić's random unstructured stuff
ESP32CAM: Revision 20
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https://github.com/raphaelbs/esp32-cam-ai-thinker/blob/master/docs/about-esp32-cam.md ^ connection, flashing connected to pl2303 serial | pl2303 | esp32cam | | 3v3 | not connected | | rxd | UnR | | rxd | UOT | | gnd | GND | | 5v | 5V | {image: ESP32-CAM-pinout-new.png} To program the board, I userd jumper to jump GPIO0 with GND pin next to it. ^ improved example app https://github.com/easytarget/esp32-cam-webserver .pre cp myconfig.sample.h myconfig.h vi myconfig.h dpavlin@nuc:/nuc/esp32/esp32-cam-webserver$ platformio run dpavlin@nuc:/nuc/esp32/esp32-cam-webserver$ pio run -t upload --upload-port /dev/ttyUSB2 "/home/dpavlin/.platformio/penv/bin/python" "/home/dpavlin/.platformio/packages/tool-esptoolpy/esptool.py" \ --chip esp32 --port "/dev/ttyUSB3" --baud 460800 --before default_reset --after hard_reset \ write_flash -z --flash_mode dio --flash_freq 40m --flash_size detect \ 0x1000 /home/dpavlin/.platformio/packages/framework-arduinoespressif32/tools/sdk/bin/bootloader_dio_40m.bin \ 0x8000 /nuc/esp32/esp32-cam-webserver/.pio/build/esp32cam/partitions.bin \ 0xe000 /home/dpavlin/.platformio/packages/framework-arduinoespressif32/tools/partitions/boot_app0.bin \ 0x10000 .pio/build/esp32cam/firmware.bin .pre ^ timelapse * https://bitluni.net/esp32camtimelapse * https://github.com/bitluni/ESP32CamTimeLapse ^ ocr on device https://github.com/jomjol/AI-on-the-edge-device https://github.com/jomjol/AI-on-the-edge-device/wiki/Installation Remove glue from lens (very hard, using sharp knife), and rotate lens by 45 degrees until picture is sharp (I had to use pliers to do this). .pre dpavlin@nuc:/nuc/esp32/AI-on-the-edge-device$ vi sd-card/wlan.ini dpavlin@nuc:/nuc/esp32/AI-on-the-edge-device/code$ pio run dpavlin@nuc:/nuc/esp32/AI-on-the-edge-device/code$ pio run -v -t upload --upload-port /dev/ttyUSB3 "/home/dpavlin/.platformio/penv/bin/python" "/home/dpavlin/.platformio/packages/tool-esptoolpy/esptool.py" \ --chip esp32 --port "/dev/ttyUSB3" --baud 460800 --before default_reset --after hard_reset \ write_flash -z --flash_mode dio --flash_freq 40m --flash_size detect \ 0x1000 /nuc/esp32/AI-on-the-edge-device/code/.pio/build/esp32cam/bootloader.bin \ 0x8000 /nuc/esp32/AI-on-the-edge-device/code/.pio/build/esp32cam/partitions.bin \ 0xd000 /nuc/esp32/AI-on-the-edge-device/code/.pio/build/esp32cam/ota_data_initial.bin \ 0x10000 .pio/build/esp32cam/firmware.bin # original flashing instructions esptool write_flash 0x01000 bootloader.bin 0x08000 partitions.bin 0x10000 firmware.bin # download raw picture wget 192.168.3.112/img_tmp/raw.jpg .pre ---- ^ old, obsolete problems It seems that my module is usually known as AI thinker variant. It has terrible picture which starts with huge green bias. It also doesn't work for me in resolutions below 1024x768 (in current esp32 example as of 2019-08-02). Plugging it into external 5V power supply did not helped much. ---- To solve green tint, I just left esp32cam module plugged in whole day and night. I guess that image sensor got discharged during night, but next day picture was fine. Problem with image resolution was fixed by updating to more recent version of ESP32 support for Arduino (as of 2020-04-20 it works fine) ^ [Home Assistant] https://jamesachambers.com/cheap-esp32-cam-home-assistant-esphome-camera-guide/ .pre esphome: name: esp32cam friendly_name: esp32cam esp32: board: esp32cam framework: type: arduino # Enable logging logger: level: VERBOSE tx_buffer_size: 256 # Enable Home Assistant API api: encryption: key: "MsJJJiDv9FTjZ1w8dfoy3Z8cQWjGOsk0m4Wgge0B+8w=" services: # change camera parameters on-the-fly - service: camera_set_param variables: name: string value: int then: - lambda: |- bool state_return = false; if (("contrast" == name) && (value >= -2) && (value <= 2)) { id(espcam).set_contrast(value); state_return = true; } if (("brightness" == name) && (value >= -2) && (value <= 2)) { id(espcam).set_brightness(value); state_return = true; } if (("saturation" == name) && (value >= -2) && (value <= 2)) { id(espcam).set_saturation(value); state_return = true; } if (("special_effect" == name) && (value >= 0U) && (value <= 6U)) { id(espcam).set_special_effect((esphome::esp32_camera::ESP32SpecialEffect)value); state_return = true; } if (("aec_mode" == name) && (value >= 0U) && (value <= 1U)) { id(espcam).set_aec_mode((esphome::esp32_camera::ESP32GainControlMode)value); state_return = true; } if (("aec2" == name) && (value >= 0U) && (value <= 1U)) { id(espcam).set_aec2(value); state_return = true; } if (("ae_level" == name) && (value >= -2) && (value <= 2)) { id(espcam).set_ae_level(value); state_return = true; } if (("aec_value" == name) && (value >= 0U) && (value <= 1200U)) { id(espcam).set_aec_value(value); state_return = true; } if (("agc_mode" == name) && (value >= 0U) && (value <= 1U)) { id(espcam).set_agc_mode((esphome::esp32_camera::ESP32GainControlMode)value); state_return = true; } if (("agc_value" == name) && (value >= 0U) && (value <= 30U)) { id(espcam).set_agc_value(value); state_return = true; } if (("agc_gain_ceiling" == name) && (value >= 0U) && (value <= 6U)) { id(espcam).set_agc_gain_ceiling((esphome::esp32_camera::ESP32AgcGainCeiling)value); state_return = true; } if (("wb_mode" == name) && (value >= 0U) && (value <= 4U)) { id(espcam).set_wb_mode((esphome::esp32_camera::ESP32WhiteBalanceMode)value); state_return = true; } if (("test_pattern" == name) && (value >= 0U) && (value <= 1U)) { id(espcam).set_test_pattern(value); state_return = true; } if (true == state_return) { id(espcam).update_camera_parameters(); } else { ESP_LOGW("esp32_camera_set_param", "Error in name or data range"); } ota: password: "09e4b58a1d186b8b33d100548f33d796" wifi: ssid: !secret wifi_ssid password: !secret wifi_password power_save_mode: none # Enable fallback hotspot (captive portal) in case wifi connection fails ap: ssid: "Esp32Cam Fallback Hotspot" password: "GTIKgjitx2Re" captive_portal: # Example configuration entry esp32_camera: id: espcam name: esp-cam external_clock: pin: GPIO0 frequency: 20MHz i2c_pins: sda: GPIO26 scl: GPIO27 data_pins: [GPIO5, GPIO18, GPIO19, GPIO21, GPIO36, GPIO39, GPIO34, GPIO35] vsync_pin: GPIO25 href_pin: GPIO23 pixel_clock_pin: GPIO22 power_down_pin: GPIO32 resolution: 800x600 jpeg_quality: 10 # max. 63 max_framerate: 1.0fps idle_framerate: 0.2fps vertical_flip: true horizontal_mirror: false brightness: 2 # -2 to 2 contrast: 1 # -2 to 2 special_effect: none # exposure settings aec_mode: auto aec2: false ae_level: 0 aec_value: 300 # gain settings agc_mode: auto agc_gain_ceiling: 2x agc_value: 0 # white balance setting wb_mode: auto output: # white LED - platform: ledc channel: 2 pin: GPIO4 id: espCamLED # red status light - platform: gpio pin: number: GPIO33 inverted: True id: gpio_33 light: - platform: monochromatic output: espCamLED name: esp-cam light - platform: binary output: gpio_33 name: esp-cam led switch: - platform: restart name: esp-cam restart binary_sensor: - platform: status name: esp-cam status .pre |