The Windows software is distributed as an exe, and is not available for Mac or Linux. In order to use with other platforms, you can use Python and opencv, which has interface hooks to read video camera frames.
We tried this with Mac and Windows, on Windows we had to upgrade to the latest 4.3.0.36 opencv python package
Try out this example code, which will fetch frames and display them in opencv. Nothing else fancy is done, but you can build on this example!
import numpy as np import time import cv2 import struct camera_num = 0 for camera_num in range(6): cam = cv2.VideoCapture(camera_num) if not cam.isOpened(): print("Was not able to open camera", camera_num) cam.release() continue if not cam.set(3, 240): print("Was not able to set camera", camera_num, "width to 240 pixels") cam.release() continue if not cam.set(4, 321): print("Was not able to set camera", camera_num, "height to 321 pixels") cam.release() continue if cam.get(3) != 240: print("Was not able to set camera", camera_num, "width to 240 pixels") cam.release() continue break print("Camera %d open at size: (%d x %d) %d FPS" % (camera_num, cam.get(3), cam.get(4), cam.get(5))) cv2.namedWindow('Thermal Camera - Press Q to quit', cv2.WINDOW_NORMAL) cv2.resizeWindow('Thermal Camera - Press Q to quit', 480, 642) while(True): # Capture frame-by-frame ret, frame = cam.read() if not ret: print("Failed to fetch frame") time.sleep(0.1) continue #print("Frame OK!") colorframe = cv2.cvtColor(frame, cv2.COLOR_BGR2BGRA) # Display the resulting frame cv2.imshow('Thermal Camera - Press Q to quit', colorframe) cam.set(cv2.CAP_PROP_CONVERT_RGB, 0) ret, frame = cam.read() if not ret: print("Failed to fetch frame") time.sleep(0.1) continue print("Temp calculation (experimental): ", end="" ) print(struct.unpack("h", frame[320][0][0:2])[0]/10) cam.set(cv2.CAP_PROP_CONVERT_RGB, 1) if cv2.waitKey(1) & 0xFF == ord('q'): break #yuvframe = cv2.cvtColor(frame, cv2.COLOR_RGB2YUV) #print(yuvframe[-1][0:3]) cam.release() cv2.destroyAllWindows()
Run it at the command line with the camera plugged in!
% python opencv_uti165k.py
You may need to install opencv python package first with pip install opencv-python
The output will be exactly what is on the scanner's TFT display.