diff --git a/micropython/examples/breakout_vl53l5cx/businessbot/businessbot.py b/micropython/examples/breakout_vl53l5cx/businessbot/businessbot.py
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+++ b/micropython/examples/breakout_vl53l5cx/businessbot/businessbot.py
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+import pimoroni_i2c
+import breakout_vl53l5cx
+import time
+from ulab import numpy
+from motor import Motor, pico_motor_shim
+from pimoroni import NORMAL_DIR, REVERSED_DIR
+
+# The VL53L5CX requires a firmware blob to start up.
+# Make sure you upload "vl53l5cx_firmware.bin" via Thonny to the root of your filesystem
+# You can find it here: https://github.com/ST-mirror/VL53L5CX_ULD_driver/blob/no-fw/lite/en/vl53l5cx_firmware.bin
+
+# This example attempts to track a "bright" object (such as a white business card).
+# It uses reflectance to identify the target and compute the X/Y coordinates
+# of its "center of mass" in the sensors view.
+# We then use the object tracking to drive a little robot towards a business card onna stick!
+
+# Motion indication only works at distances > 400mm so it's not
+# really useful as a method to reject data.
+
+# Configure your distance and brightness thresholds to suit your object
+DISTANCE_THRESHOLD = 400  # Distance in mm
+REFLECTANCE_THRESHOLD = 60  # Estimated reflectance in %
+
+PINS_BREAKOUT_GARDEN = {"sda": 4, "scl": 5}
+PINS_PICO_EXPLORER = {"sda": 20, "scl": 21}
+
+# Sensor startup time is proportional to i2c baudrate
+# HOWEVER many sensors may not run at > 400KHz (400000)
+i2c = pimoroni_i2c.PimoroniI2C(**PINS_BREAKOUT_GARDEN, baudrate=2_000_000)
+
+# Speed / distance constants for the robot - modify these to change driving behaviour!
+DRIVING_SPEED = 0.7    # The speed to drive the wheels at when going forward
+TURNING_SPEED = 0.2    # The speed to drive the wheels at when turning
+GOAL_DISTANCE = 100.0  # The distance in mm the robot will keep an object in front of it
+SPEED_RANGE = 50.0     # The distance an object is from the goal that will have the robot drive at full speed
+
+# Setup the left and right motors - we're connecting our motors via a Motor SHIM for Pico.
+# Swap the directions if this is different to your setup
+left = Motor(pico_motor_shim.MOTOR_1, direction=REVERSED_DIR)
+right = Motor(pico_motor_shim.MOTOR_2, direction=NORMAL_DIR)
+
+# Setup the VL53L5CX sensor
+print("Starting up sensor...")
+t_sta = time.ticks_ms()
+sensor = breakout_vl53l5cx.VL53L5CX(i2c)
+t_end = time.ticks_ms()
+print("Done in {}ms...".format(t_end - t_sta))
+
+# Make sure to set resolution and other settings *before* you start ranging
+sensor.set_resolution(breakout_vl53l5cx.RESOLUTION_8X8)
+sensor.set_ranging_frequency_hz(15)
+sensor.start_ranging()
+
+while True:
+    time.sleep(1.0 / 60)
+    if sensor.data_ready():
+        # "data" is a namedtuple (attrtuple technically)
+        # it includes average readings as "distance_avg" and "reflectance_avg"
+        # plus a full 4x4 or 8x8 set of readings (as a 1d tuple) for both values.
+        data = sensor.get_data()
+
+        reflectance = numpy.array(data.reflectance).reshape((8, 8))
+        distance = numpy.array(data.distance).reshape((8, 8))
+
+        scalar = 0
+        target_distance = 0
+        n_distances = 0
+        # Filter out unwanted reflectance values
+        for ox in range(8):
+            for oy in range(8):
+                d = distance[ox][oy]
+                r = reflectance[ox][oy]
+                if d > DISTANCE_THRESHOLD or r < REFLECTANCE_THRESHOLD:
+                    reflectance[ox][oy] = 0
+                else:
+                    scalar += r
+
+        # Get a total from all the distances within our accepted target
+        for ox in range(8):
+            for oy in range(8):
+                d = distance[ox][oy]
+                r = reflectance[ox][oy]
+                if r > 0:
+                    target_distance += d
+                    n_distances += 1
+
+        # Average the target distance
+        if n_distances > 0:
+            target_distance /= n_distances
+        else:
+            target_distance = 0
+
+        # Flip reflectance now we've applied distance
+        # both fields are upside-down!
+        reflectance = numpy.flip(reflectance, axis=0)
+
+        # Calculate the center of mass along X and Y
+        x = 0
+        y = 0
+        if scalar > 0:
+            for ox in range(8):
+                for oy in range(8):
+                    y += reflectance[ox][oy] * ox
+            y /= scalar
+            y /= 3.5
+            y -= 1.0
+
+            for oy in range(8):
+                for ox in range(8):
+                    x += reflectance[ox][oy] * oy
+            x /= scalar
+            x /= 3.5
+            x -= 1.0
+            
+            print("Object detected at x: {:.2f}, y: {:.2f}".format(x, y))
+     
+            # Our robot will try and keep the object a goal distance in front of it.
+            # If the object gets closer it will reverse, if the object gets further away it will drive forward.
+            scale = (target_distance - GOAL_DISTANCE) / SPEED_RANGE
+            spd = max(min(scale, 1.0), -1.0) * DRIVING_SPEED
+            
+            print("Distance is {:.1f} mm. Speed is {:.2f}".format(target_distance, spd))
+            
+            left.speed(spd - (x * TURNING_SPEED))
+            right.speed(spd + (x * TURNING_SPEED))            
+        else:
+            left.coast()
+            right.coast() 
+                    
+                
+