This is a high-precision AI visual recognition module, featuring dual 2-megapixel cameras in combination with advanced deep learning algorithms. It is capable of accurately identifying both moving and static targets. Compared with traditional visual sensors, its anti-interference ability has been significantly enhanced and it is not affected by factors such as changes in environmental light, temperature fluctuations or complex backgrounds. Whether it is a fast-moving human body, a static human face or subtle palm vein features, the module can achieve rapid and stable detection and recognition.
SKU：SEN0677
Provides an Arduino library that has the following features: Recognize human faces or palm prints Obtain the QR code information
There are two methods for using this library:
- Open Arduino IDE, search for "DFRobot_AI10" on the status bar in Tools ->Manager Libraries and install the library.
- Download the library file before use, paste it into \Arduino\libraries directory, then open the examples folder and run the demo in the folder.
/**
* @fn enrollUser
* @brief Enroll a user with face or palm information
* @param admin
* @n eNormal Normal permission
* @n eAdmin: Admin permission
* @param userName Enroll user name
* @param timeout timeout
* @return sUserData_t
* @n UID The user ID
* @n userName The user name
* @n admin The user's authority
* @n type The type of enrollment
* @n eNull Null
* @n eFace Face
* @n ePalm Palm
* @n result Registration result
* @n eSuccess Success
* @n eFailedFaceEnrolled Failed to enroll, the face has been enrolled
* @n eFailedInvalidParam Invalid parameter
* @n eFailedMaxUser Maximum number of users reached
* @n eFailedCamera Failed to capture the face
* @n eFailedTimeout Time out
*/
sUserData_t enrollUser(uint8_t admin,const char* userName, uint8_t timeout);
/**
* @fn signedAccount
* @brief get the information of all users
* @return sUserData_t
* @n result Get the result
* @n 0 Success
* @n default Failed
* @n userNum The Number of users
* @n UIDS All user ids
*/
sAllUserID_t getAllUserIDs(void);
/**
* @fn enableFaceFrame
* @brief Open the face frame
* @return true or false
*/
bool enableFaceFrame(void);
/**
* @fn getRecognitionResult
* @brief Get the recognition result
* @param timeout
* @return sRecognitionData_t
* @n result he result of recognition
* @n userData The user information
* @n noteData The note information
* @n QRDdata The QR code information
* @n type The type of recognition
* @n eNull Null
* @n eFace Face
* @n ePalm Palm
* @n eQR QR code
*/
recognitionData_t getRecognitionResult(uint8_t timeout);
/**
* @fn startContinuousFaceRecognition
* @brief Start continuous face recognition
* @param timeout
* @return sRecognitionData_t
* @n result The result of recognition
* @n userData The user information
* @n noteData The note information
* @n QRDdata The QR code information
* @n type The type of recognition
* @n eNull Null
* @n eFace Face
* @n ePalm Palm
* @n eQR QR code
*/
recognitionData_t startContinuousFaceRecognition(uint8_t timeout);
/**
* @fn deleteUser
* @brief Delete a user by UID
* @param UID
* @return bool
* @n true Success
* @n false Failed
*/
bool deleteUser(uint16_t UID);
/**
* @fn deleteAllUser
* @brief Delete all users
* @return bool
* @n true Success
* @n false Failed
*/
bool deleteAllUser(void);| MCU | Work Well | Work Wrong | Untested | Remarks |
|---|---|---|---|---|
| Arduino Uno | √ | |||
| Arduino MEGA2560 | √ | |||
| Arduino Leonardo | √ | |||
| FireBeetle-ESP8266 | √ | |||
| FireBeetle-ESP32 | √ | |||
| FireBeetle-M0 | √ | |||
| Micro:bit | nonsupport uart |
- 2025/07/18 - Version 1.0.0 released.
Written by zhixinliu(zhixinliu@dfrobot.com), 2021. (Welcome to our website)