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After the opencv udf, Dlib seems to be a missing library for image processing. This UDF provides a way to use dlib in AutoIt The usage is similar to the python usage of dlib Prerequisites Download and extract autoit-dlib-19.24.4-opencv-4.10.0-com-v1.4.3.7z into a folder Sources Here Documentation A generated documentation for functions is available here Examples More examples can be found here To run them, please follow these instructions Face detection #Region ;**** Directives created by AutoIt3Wrapper_GUI **** #AutoIt3Wrapper_UseX64=y #AutoIt3Wrapper_Change2CUI=y #AutoIt3Wrapper_Au3Check_Parameters=-d -w 1 -w 2 -w 3 -w 4 -w 5 -w 6 #AutoIt3Wrapper_AU3Check_Stop_OnWarning=y #EndRegion ;**** Directives created by AutoIt3Wrapper_GUI **** #include <Misc.au3> #include "autoit-dlib-com\udf\dlib_udf_utils.au3" _Dlib_Open("opencv-4.7.0-windows\opencv\build\x64\vc16\bin\opencv_world470.dll", "autoit-dlib-com\autoit_dlib_com-19.24-470.dll") OnAutoItExitRegister("_OnAutoItExit") Example() Func Example() Local Const $dlib = _Dlib_get() If Not IsObj($dlib) Then Return Local $detector = $dlib.get_frontal_face_detector() Local $win = _Dlib_ObjCreate("image_window") Local $image_path = _Dlib_FindFile("examples\faces\2008_002470.jpg") Local $img = $dlib.load_rgb_image($image_path) $win.set_image($img) ; The 1 in the second argument indicates that we should upsample the image ; 1 time. This will make everything bigger and allow us to detect more ; faces. Local $dets = $detector.call($img, 1) ConsoleWrite("Number of faces detected: " & UBound($dets) & @CRLF) Local $d For $i = 0 To UBound($dets) - 1 $d = $dets[$i] ConsoleWrite(StringFormat("Detection %d: Left: %d Top: %d Right: %d Bottom: %d", _ $i, $d.left(), $d.top(), $d.right(), $d.bottom()) & @CRLF) Next $win.add_overlay($dets) hit_to_continue() EndFunc ;==>Example Func hit_to_continue() ToolTip("Hit ESC to continue", 0, 0) ConsoleWrite("Hit ESC to continue" & @CRLF) Do Sleep(50) Until _IsPressed("1B") EndFunc ;==>hit_to_continue Func _OnAutoItExit() _Dlib_Close() EndFunc ;==>_OnAutoItExit Camera face detection using opencv First, download the opencv UDF from here #Region ;**** Directives created by AutoIt3Wrapper_GUI **** #AutoIt3Wrapper_UseX64=y #AutoIt3Wrapper_Change2CUI=y #AutoIt3Wrapper_Au3Check_Parameters=-d -w 1 -w 2 -w 3 -w 4 -w 5 -w 6 #AutoIt3Wrapper_AU3Check_Stop_OnWarning=y #EndRegion ;**** Directives created by AutoIt3Wrapper_GUI **** #include <Misc.au3> #include "autoit-dlib-com\udf\dlib_udf_utils.au3" #include "autoit-opencv-com\udf\opencv_udf_utils.au3" _Dlib_Open("opencv-4.7.0-windows\opencv\build\x64\vc16\bin\opencv_world470.dll", "autoit-dlib-com\autoit_dlib_com-19.24-470.dll") _OpenCV_Open("opencv-4.7.0-windows\opencv\build\x64\vc16\bin\opencv_world470.dll", "autoit-opencv-com\autoit_opencv_com470.dll") OnAutoItExitRegister("_OnAutoItExit") Example() Func Example() Local Const $dlib = _Dlib_get() If Not IsObj($dlib) Then Return Local Const $cv = _OpenCV_get() If Not IsObj($cv) Then Return Local $detector = $dlib.get_frontal_face_detector() Local $cam = _OpenCV_ObjCreate("VideoCapture").create(0) Local $color_green = _OpenCV_Tuple(0, 255, 0) Local $line_width = 3 Local $img, $dets, $det While True If $cam.read() Then $img = $cv.extended[1] $dets = $detector.call($img) For $i = 0 To UBound($dets) - 1 $det = $dets[$i] $cv.rectangle($img, _OpenCV_Tuple($det.left(), $det.top()), _OpenCV_Tuple($det.right(), $det.bottom()), $color_green, $line_width) Next ;; Flip the image horizontally to give the mirror impression $cv.imshow("my webcam", $cv.flip($img, 1)) EndIf If _IsPressed("1B") Then ExitLoop ; esc to quit EndIf Sleep(1) WEnd $cv.destroyAllWindows() EndFunc ;==>Example Func _OnAutoItExit() _OpenCV_Close() _Dlib_Close() EndFunc ;==>_OnAutoItExit