diff --git a/birdnet.conf-defaults b/birdnet.conf-defaults
index 21773cc..87f01da 100644
--- a/birdnet.conf-defaults
+++ b/birdnet.conf-defaults
@@ -126,11 +126,14 @@ CHANNELS=2
 
 FULL_DISK=purge
 
-## PRIVACY_MODE can be set to 'on' or 'off' to configure analysis to be more
-## sensitive to human detections. PRIVACY_MODE 'on' will purge any data that
-## receives even a low HUMAN_HUMAN confidence score.
+## PRIVACY_THRESHOLD can be set to enable sensitivity to Human sounds. This
+## setting is an effort to introduce privacy into the data collection.
+## The PRIVACY_THRESHOLD value represents a percentage of the entire species 
+## list used during analysis. If a human sound is predicted anywhere within
+## the precentile set below, no data is collected for that audio chunk.
+## Valid range: 0-3
 
-PRIVACY_MODE=off
+PRIVACY_THRESHOLD=0
 
 ## RECORDING_LENGTH sets the length of the recording that BirdNET-Lite will 
 ## analyze.
diff --git a/homepage/style.css b/homepage/style.css
index 6469e1c..ba5e360 100644
--- a/homepage/style.css
+++ b/homepage/style.css
@@ -349,6 +349,36 @@ button:hover {
   width: 20%;
 }
 
+.slider {
+  -webkit-appearance: none;
+  width: 33%;
+  height: 15px;
+  border-radius: 5px;
+  background: #d3d3d3;
+  outline: none;
+  opacity: 0.7;
+  -webkit-transition: .2s;
+  transition: opacity .2s;
+}
+
+.slider::-webkit-slider-thumb {
+  -webkit-appearance: none;
+  appearance: none;
+  width: 25px;
+  height: 25px;
+  border-radius: 50%;
+  background: #04AA6D;
+  cursor: pointer;
+}
+
+.slider::-moz-range-thumb {
+  width: 25px;
+  height: 25px;
+  border-radius: 50%;
+  background: #04AA6D;
+  cursor: pointer;
+}
+
 #body::-webkit-scrollbar {
 #  display:none
 #}
diff --git a/model/labels_l18n.zip b/model/labels_l18n.zip
index 9503754..45a20e2 100644
Binary files a/model/labels_l18n.zip and b/model/labels_l18n.zip differ
diff --git a/scripts/advanced.php b/scripts/advanced.php
index bfcd285..2e766dd 100644
--- a/scripts/advanced.php
+++ b/scripts/advanced.php
@@ -109,27 +109,12 @@ if(isset($_GET['submit'])) {
     }
   }
 
-  if(isset($_GET["privacy_mode"])) {
-    $privacy_mode = $_GET["privacy_mode"];
-    if(strcmp($config['PRIVACY_MODE'], "1") == 0 ) {
-      $pmode = "on";
-    }elseif(strcmp($config['PRIVACY_MODE'], "") == 0) {
-      $pmode = "off";
-    }
-    if(strcmp($privacy_mode,$pmode) !== 0) {
-      $contents = preg_replace("/PRIVACY_MODE=.*/", "PRIVACY_MODE=$privacy_mode", $contents);
-      $contents2 = preg_replace("/PRIVACY_MODE=.*/", "PRIVACY_MODE=$privacy_mode", $contents2);
-      if(strcmp($privacy_mode,"on") == 0) {
-        exec('sudo sed -i \'s/\/usr\/local\/bin\/server.py/\/usr\/local\/bin\/privacy_server.py/g\' ../../BirdNET-Pi/templates/birdnet_server.service');
-        exec('sudo systemctl daemon-reload');
-        exec('restart_services.sh');
-        header('Location: /log');
-      } elseif(strcmp($privacy_mode,"off") == 0) {
-        exec('sudo sed -i \'s/\/usr\/local\/bin\/privacy_server.py/\/usr\/local\/bin\/server.py/g\' ../../BirdNET-Pi/templates/birdnet_server.service');
-        exec('sudo systemctl daemon-reload');
-        exec('restart_services.sh');
-        header('Location: /log');
-      }
+  if(isset($_GET["privacy_threshold"])) {
+    $privacy_threshold = $_GET["privacy_threshold"];
+    if(strcmp($privacy_threshold,$config['PRIVACY_THRESHOLD']) !== 0) {
+      $contents = preg_replace("/PRIVACY_THRESHOLD=.*/", "PRIVACY_THRESHOLD=$privacy_threshold", $contents);
+      $contents2 = preg_replace("/PRIVACY_THRESHOLD=.*/", "PRIVACY_THRESHOLD=$privacy_threshold", $contents2);
+      exec('restart_services.sh');
     }
   }
 
@@ -178,6 +163,9 @@ if(isset($_GET['submit'])) {
   fwrite($fh, $contents);
   fwrite($fh2, $contents2);
 }
+
+$count_labels = count(file("./scripts/labels.txt"));
+$count = $count_labels;
 ?>
 <meta name="viewport" content="width=device-width, initial-scale=1">
 <style>
@@ -194,14 +182,23 @@ if (file_exists('./scripts/thisrun.txt')) {
 ?>
       <h2>Advanced Settings</h2>
     <form action="" method="GET">
-      <label>Privacy Mode: </label>
-      <label for="on">
-      <input name="privacy_mode" type="radio" id="on" value="on" <?php if (strcmp($newconfig['PRIVACY_MODE'], "1") == 0) { echo "checked"; }?>>On</label>
-      <label for="off">
-      <input name="privacy_mode" type="radio" id="off" value="off" <?php if (strcmp($newconfig['PRIVACY_MODE'], "") == 0) { echo "checked"; }?>>Off</label>
-      <p>Privacy mode can be set to 'on' or 'off' to configure analysis to be more sensitive to human detections. Privacy mode 'on' will purge any data that receives even a low Human confidence score.
-      Please note that changing this setting restarts services and replaces the running server. It will take about 90, so please be patient!</p>
-
+      <label>Privacy Threshold: </label><br>
+      <div class="slidecontainer">
+        <input name="privacy_threshold" type="range" min="0" max="3" value="<?php print($newconfig['PRIVACY_THRESHOLD']);?>" class="slider" id="privacy_threshold">
+        <p>Value: <span id="threshold_value"></span>%</p>
+      </div>
+      <script>
+      var slider = document.getElementById("privacy_threshold");
+      var output = document.getElementById("threshold_value");
+      output.innerHTML = slider.value; // Display the default slider value
+      
+      // Update the current slider value (each time you drag the slider handle)
+      slider.oninput = function() {
+        output.innerHTML = this.value;
+        document.getElementById("predictionCount").innerHTML = parseInt((this.value * <?php echo $count; ?>)/100);
+      }
+      </script>
+      <p>If a Human is predicted anywhere among the top <span id="predictionCount"><?php echo $newconfig['PRIVACY_THRESHOLD'] == 0 ? "threshold % of" : intval(($newconfig['PRIVACY_THRESHOLD'] * $count)/100); ?></span> predictions, the sample will be considered of human origin and no data will be collected. Start with 1% and move up as needed.</p>
       <label>Full Disk Behavior: </label>
       <label for="purge">
       <input name="full_disk" type="radio" id="purge" value="purge" <?php if (strcmp($newconfig['FULL_DISK'], "purge") == 0) { echo "checked"; }?>>Purge</label>
@@ -255,7 +252,7 @@ foreach($formats as $format){
       <p>Min=0.5, Max=1.5</p>
       <br><br>
       <input type="hidden" name="view" value="Advanced">
-      <button type="submit" name="submit" value="advanced">
+      <button onclick="if(<?php print($newconfig['PRIVACY_THRESHOLD']);?> != document.getElementById('privacy_threshold').value){return confirm('This will take about 90 seconds.')}" type="submit" name="submit" value="advanced">
 <?php
 if(isset($_GET['submit'])){
   echo "Success!";
diff --git a/scripts/birdnet_analysis.sh b/scripts/birdnet_analysis.sh
index de0b5c6..582944f 100755
--- a/scripts/birdnet_analysis.sh
+++ b/scripts/birdnet_analysis.sh
@@ -108,19 +108,19 @@ run_analysis() {
         sleep 1
       done
     fi
-    # prepare optional parameters for analyse.py
+    # prepare optional parameters for analyze.py
     if [ -f ${INCLUDE_LIST} ]; then
-      INCLUDEPARAM="--include_list \"${INCLUDE_LIST}\""
+      INCLUDEPARAM="--include_list ${INCLUDE_LIST}"
     else
       INCLUDEPARAM=""
     fi
     if [ -f ${EXCLUDE_LIST} ]; then
-      EXCLUDEPARAM="--include_list \"${EXCLUDE_LIST}\""
+      EXCLUDEPARAM="--exclude_list ${EXCLUDE_LIST}"
     else
       EXCLUDEPARAM=""
     fi
     if [ ! -z $BIRDWEATHER_ID ]; then
-      BIRDWEATHER_ID_PARAM="--birdweather_id \"${BIRDWEATHER_ID}\""
+      BIRDWEATHER_ID_PARAM="--birdweather_id ${BIRDWEATHER_ID}"
       BIRDWEATHER_ID_LOG="--birdweather_id \"IN_USE\""
     else
       BIRDWEATHER_ID_PARAM=""
diff --git a/scripts/disk_check.sh b/scripts/disk_check.sh
index 8fb7973..e7a60a8 100755
--- a/scripts/disk_check.sh
+++ b/scripts/disk_check.sh
@@ -7,8 +7,23 @@ if [ "${used//%}" -ge 95 ]; then
 
   case $FULL_DISK in
     purge) echo "Removing oldest data"
-       rm -drfv "$(find ${EXTRACTED}/By_Date/* -maxdepth 1 -type d -prune \
-         | sort -r | tail -n1)";;
+        cd ${EXTRACTED}/By_Date/
+	curl localhost/views.php?view=Species%20Stats &>/dev/null
+        filestodelete=$(($(find ${EXTRACTED}/By_Date/* -type f | wc -l) / $(find ${EXTRACTED}/By_Date/* -maxdepth 0 -type d | wc -l)))
+        iter=0
+        for i in */*/*; do
+            if [ $iter -ge $filestodelete ]; then
+                break
+            fi
+            if ! grep -qxFe "$i" $HOME/BirdNET-Pi/scripts/disk_check_exclude.txt; then
+                rm "$i"
+            fi
+            ((iter++))
+        done
+        find ${EXTRACTED}/By_Date/ -empty -type d -delete;;
+
+       #rm -drfv "$(find ${EXTRACTED}/By_Date/* -maxdepth 1 -type d -prune \
+        # | sort -r | tail -n1)";;
     keep) echo "Stopping Core Services"
        /usr/local/bin/stop_core_services.sh;;
   esac
diff --git a/scripts/install_config.sh b/scripts/install_config.sh
index 69ea796..9557abd 100755
--- a/scripts/install_config.sh
+++ b/scripts/install_config.sh
@@ -139,11 +139,14 @@ CHANNELS=2
 
 FULL_DISK=purge
 
-## PRIVACY_MODE can be set to 'on' or 'off' to configure analysis to be more
-## sensitive to human detections. PRIVACY_MODE 'on' will purge any data that
-## receives even a low HUMAN_HUMAN confidence score.
+## PRIVACY_THRESHOLD can be set to enable sensitivity to Human sounds. This
+## setting is an effort to introduce privacy into the data collection.
+## The PRIVACY_THRESHOLD value represents a percentage of the entire species
+## list used during analysis. If a human sound is predicted anywhere within
+## the precentile set below, no data is collected for that audio chunk.
+## Valid range: 0-3
 
-PRIVACY_MODE=off
+PRIVACY_THRESHOLD=0
 
 ## RECORDING_LENGTH sets the length of the recording that BirdNET-Lite will
 ## analyze.
diff --git a/scripts/privacy_server.py b/scripts/privacy_server.py
deleted file mode 100755
index a103fff..0000000
--- a/scripts/privacy_server.py
+++ /dev/null
@@ -1,456 +0,0 @@
-import socket 
-import threading
-import os
-os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3'
-os.environ['CUDA_VISIBLE_DEVICES'] = ''
-
-try:
-    import tflite_runtime.interpreter as tflite
-except:
-    from tensorflow import lite as tflite
-
-import argparse
-import operator
-import librosa
-import numpy as np
-import math
-import time
-from decimal import Decimal
-import json
-import requests
-import sqlite3
-import datetime
-from time import sleep
-import pytz
-from tzlocal import get_localzone
-from pathlib import Path
-
-
-HEADER = 64
-PORT = 5050
-SERVER = socket.gethostbyname(socket.gethostname())
-ADDR = (SERVER, PORT)
-FORMAT = 'utf-8'
-DISCONNECT_MESSAGE = "!DISCONNECT"
-
-server = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
-try:
-    server.bind(ADDR)
-except:
-    print("Waiting on socket")
-    time.sleep(5)
-    
-
-
-# Open most recent Configuration and grab DB_PWD as a python variable
-userDir = os.path.expanduser('~')
-with open(userDir + '/BirdNET-Pi/scripts/thisrun.txt', 'r') as f:
-    this_run = f.readlines()
-    audiofmt = "." + str(str(str([i for i in this_run if i.startswith('AUDIOFMT')]).split('=')[1]).split('\\')[0])
-
-
-def loadModel():
-
-    global INPUT_LAYER_INDEX
-    global OUTPUT_LAYER_INDEX
-    global MDATA_INPUT_INDEX
-    global CLASSES
-
-    print('LOADING TF LITE MODEL...', end=' ')
-
-    # Load TFLite model and allocate tensors.
-    modelpath = userDir + '/BirdNET-Pi/model/BirdNET_6K_GLOBAL_MODEL.tflite'
-    myinterpreter = tflite.Interpreter(model_path=modelpath,num_threads=2)
-    myinterpreter.allocate_tensors()
-
-    # Get input and output tensors.
-    input_details = myinterpreter.get_input_details()
-    output_details = myinterpreter.get_output_details()
-
-    # Get input tensor index
-    INPUT_LAYER_INDEX = input_details[0]['index']
-    MDATA_INPUT_INDEX = input_details[1]['index']
-    OUTPUT_LAYER_INDEX = output_details[0]['index']
-
-    # Load labels
-    CLASSES = []
-    with open(userDir + '/BirdNET-Pi/model/labels.txt', 'r') as lfile:
-        for line in lfile.readlines():
-            CLASSES.append(line.replace('\n', ''))
-
-    print('DONE!')
-
-    return myinterpreter
-
-def loadCustomSpeciesList(path):
-
-    slist = []
-    if os.path.isfile(path):
-        with open(path, 'r') as csfile:
-            for line in csfile.readlines():
-                slist.append(line.replace('\r', '').replace('\n', ''))
-
-    return slist
-
-def splitSignal(sig, rate, overlap, seconds=3.0, minlen=1.5):
-
-    # Split signal with overlap
-    sig_splits = []
-    for i in range(0, len(sig), int((seconds - overlap) * rate)):
-        split = sig[i:i + int(seconds * rate)]
-
-        # End of signal?
-        if len(split) < int(minlen * rate):
-            break
-        
-        # Signal chunk too short? Fill with zeros.
-        if len(split) < int(rate * seconds):
-            temp = np.zeros((int(rate * seconds)))
-            temp[:len(split)] = split
-            split = temp
-        
-        sig_splits.append(split)
-
-    return sig_splits
-
-def readAudioData(path, overlap, sample_rate=48000):
-
-    print('READING AUDIO DATA...', end=' ', flush=True)
-
-    # Open file with librosa (uses ffmpeg or libav)
-    sig, rate = librosa.load(path, sr=sample_rate, mono=True, res_type='kaiser_fast')
-
-    # Split audio into 3-second chunks
-    chunks = splitSignal(sig, rate, overlap)
-
-    print('DONE! READ', str(len(chunks)), 'CHUNKS.')
-
-    return chunks
-
-def convertMetadata(m):
-
-    # Convert week to cosine
-    if m[2] >= 1 and m[2] <= 48:
-        m[2] = math.cos(math.radians(m[2] * 7.5)) + 1 
-    else:
-        m[2] = -1
-
-    # Add binary mask
-    mask = np.ones((3,))
-    if m[0] == -1 or m[1] == -1:
-        mask = np.zeros((3,))
-    if m[2] == -1:
-        mask[2] = 0.0
-
-    return np.concatenate([m, mask])
-
-def custom_sigmoid(x, sensitivity=1.0):
-    return 1 / (1.0 + np.exp(-sensitivity * x))
-
-def predict(sample, sensitivity):
-    global INTERPRETER
-    # Make a prediction
-    INTERPRETER.set_tensor(INPUT_LAYER_INDEX, np.array(sample[0], dtype='float32'))
-    INTERPRETER.set_tensor(MDATA_INPUT_INDEX, np.array(sample[1], dtype='float32'))
-    INTERPRETER.invoke()
-    prediction = INTERPRETER.get_tensor(OUTPUT_LAYER_INDEX)[0]
-
-    # Apply custom sigmoid
-    p_sigmoid = custom_sigmoid(prediction, sensitivity)
-
-    # Get label and scores for pooled predictions
-    p_labels = dict(zip(CLASSES, p_sigmoid))
-
-    # Sort by score
-    p_sorted = sorted(p_labels.items(), key=operator.itemgetter(1), reverse=True)
-
-    # Remove species that are on blacklist
-    for i in range(min(10, len(p_sorted))):
-        if p_sorted[i][0] in ['Non-bird_Non-bird', 'Noise_Noise']:
-            p_sorted[i] = (p_sorted[i][0], 0.0)
-        if p_sorted[i][0]=='Human_Human':
-            print("HUMAN SCORE:",str(p_sorted[i]))
-            HUMAN_FLAG=True
-            with open(userDir + '/BirdNET-Pi/HUMAN.txt', 'a') as rfile:
-                rfile.write(str(datetime.datetime.now())+str(p_sorted[i])+ '\n')
-#             date_stamp=datetime.datetime.now().strftime("%d_%m_%y_%H:%M:%S")
-# 
-#             sf.write('./home/*/human_sample.wav',np.random.randn(10,2) , 44100) #sample[0]
-
-    # Only return first the top ten results
-    #INCREASE THIS TO SEE IF HUMAN IS DETECTED MORE RELIABLY
-#    print('P_SORTED-------', p_sorted)
-    return p_sorted[:100]
-
-def analyzeAudioData(chunks, lat, lon, week, sensitivity, overlap,):
-    global INTERPRETER
-
-    detections = {}
-    start = time.time()
-    print('ANALYZING AUDIO...', end=' ', flush=True)
-
-    # Convert and prepare metadata
-    mdata = convertMetadata(np.array([lat, lon, week]))
-    mdata = np.expand_dims(mdata, 0)
-
-    # Parse every chunk
-    pred_start = 0.0
-    for c in chunks:
-
-        # Prepare as input signal
-        sig = np.expand_dims(c, 0)
-
-        # Make prediction
-        p = predict([sig, mdata], sensitivity)
-#        print("PPPPP",p)
-        HUMAN_DETECTED=False
-        #Catch if Human is recognized
-        for x in range(len(p)):
-            if "Human" in p[x][0]:
-#                print("HUMAN DETECTED!!",p[x][0])
-                #clear list
-                HUMAN_DETECTED=True
-                print("CHUNK -----",c)
-         
-        # Save result and timestamp
-        pred_end = pred_start + 3.0
-        
-        if HUMAN_DETECTED == True:
-            p=[('Human_Human',0.0)]*10
-            print("HUMAN DETECTED!!!",p)
-
-        detections[str(pred_start) + ';' + str(pred_end)] = p
-        
-        pred_start = pred_end - overlap
-
-    print('DONE! Time', int((time.time() - start) * 10) / 10.0, 'SECONDS')
-#    print('DETECTIONS:::::',detections)
-    return detections
-
-
-def writeResultsToFile(detections, min_conf, path):
-
-    print('WRITING RESULTS TO', path, '...', end=' ')
-    rcnt = 0
-    with open(path, 'w') as rfile:
-        rfile.write('Start (s);End (s);Scientific name;Common name;Confidence\n')
-        for d in detections:
-            for entry in detections[d]:
-                if entry[1] >= min_conf and ((entry[0] in INCLUDE_LIST or len(INCLUDE_LIST) == 0) and (entry[0] not in EXCLUDE_LIST or len(EXCLUDE_LIST) == 0) ):
-                    rfile.write(d + ';' + entry[0].replace('_', ';') + ';' + str(entry[1]) + '\n')
-                    rcnt += 1
-    print('DONE! WROTE', rcnt, 'RESULTS.')
-    return
-
-def handle_client(conn, addr):
-    global INCLUDE_LIST
-    global EXCLUDE_LIST
-    print(f"[NEW CONNECTION] {addr} connected.")
-
-    connected = True
-    while connected:
-        msg_length = conn.recv(HEADER).decode(FORMAT)
-        if msg_length:
-            msg_length = int(msg_length)
-            msg = conn.recv(msg_length).decode(FORMAT)
-            if msg == DISCONNECT_MESSAGE:
-                connected = False
-            else:
-                #print(f"[{addr}] {msg}")
-                
-                args = type('', (), {})()
-                
-                args.i = ''
-                args.o = ''
-                args.birdweather_id = '99999'
-                args.include_list = 'null'
-                args.exclude_list = 'null'
-                args.overlap = 0.0
-                args.week = -1
-                args.sensitivity = 1.25
-                args.min_conf = 0.70
-                args.lat = -1
-                args.lon =  -1
-
-
-                for line in msg.split('||'):
-                    inputvars = line.split('=')
-                    if inputvars[0] == 'i':
-                        args.i = inputvars[1]
-                    elif inputvars[0] == 'o':
-                        args.o = inputvars[1]
-                    elif inputvars[0] == 'birdweather_id':
-                        args.birdweather_id = inputvars[1]
-                    elif inputvars[0] == 'include_list':
-                        args.include_list = inputvars[1]
-                    elif inputvars[0] == 'exclude_list':
-                        args.exclude_list = inputvars[1]
-                    elif inputvars[0] == 'overlap':
-                        args.overlap = float(inputvars[1])
-                    elif inputvars[0] == 'week':
-                        args.week = int(inputvars[1])
-                    elif inputvars[0] == 'sensitivity':
-                        args.sensitivity = float(inputvars[1])
-                    elif inputvars[0] == 'min_conf':
-                        args.min_conf = float(inputvars[1])
-                    elif inputvars[0] == 'lat':
-                        args.lat = float(inputvars[1])
-                    elif inputvars[0] == 'lon':
-                        args.lon = float(inputvars[1])
-
-
-                   
-                # Load custom species lists - INCLUDED and EXCLUDED
-                if not args.include_list == 'null':
-                    INCLUDE_LIST = loadCustomSpeciesList(args.include_list)
-                else:
-                    INCLUDE_LIST = []
-                
-                if not args.exclude_list == 'null':
-                    EXCLUDE_LIST = loadCustomSpeciesList(args.exclude_list)
-                else:
-                    EXCLUDE_LIST = []
-
-                birdweather_id = args.birdweather_id
-
-                # Read audio data
-                audioData = readAudioData(args.i, args.overlap)
-
-                # Get Date/Time from filename in case Pi gets behind
-                #now = datetime.now()
-                full_file_name = args.i
-                print('FULL FILENAME: -' + full_file_name + '-')
-                file_name = Path(full_file_name).stem
-                file_date = file_name.split('-birdnet-')[0]
-                file_time = file_name.split('-birdnet-')[1]
-                date_time_str = file_date + ' ' + file_time
-                date_time_obj = datetime.datetime.strptime(date_time_str, '%Y-%m-%d %H:%M:%S')
-                #print('Date:', date_time_obj.date())
-                #print('Time:', date_time_obj.time())
-                print('Date-time:', date_time_obj)
-                now = date_time_obj
-                current_date = now.strftime("%Y-%m-%d")
-                current_time = now.strftime("%H:%M:%S")
-                current_iso8601 = now.astimezone(get_localzone()).isoformat()
-                
-                week_number = int(now.strftime("%V"))
-                week = max(1, min(week_number, 48))
-
-                sensitivity = max(0.5, min(1.0 - (args.sensitivity - 1.0), 1.5))
-
-                # Process audio data and get detections
-                detections = analyzeAudioData(audioData, args.lat, args.lon, week, sensitivity, args.overlap)
-
-                # Write detections to output file
-                min_conf = max(0.01, min(args.min_conf, 0.99))
-                writeResultsToFile(detections, min_conf, args.o)
-                
-            ###############################################################################    
-            ###############################################################################    
-                
-                soundscape_uploaded = False
-
-                # Write detections to Database
-                myReturn = ''
-                for i in detections:
-                  myReturn += str(i) + '-' + str(detections[i][0]) + '\n'
-                
-                
-                with open(userDir + '/BirdNET-Pi/BirdDB.txt', 'a') as rfile:
-                    for d in detections:
-                        for entry in detections[d]:
-                            if entry[1] >= min_conf and ((entry[0] in INCLUDE_LIST or len(INCLUDE_LIST) == 0) and (entry[0] not in EXCLUDE_LIST or len(EXCLUDE_LIST) == 0) ):
-                                rfile.write(str(current_date) + ';' + str(current_time) + ';' + entry[0].replace('_', ';') + ';' \
-                                + str(entry[1]) +";" + str(args.lat) + ';' + str(args.lon) + ';' + str(min_conf) + ';' + str(week) + ';' \
-                                + str(args.sensitivity) +';' + str(args.overlap) + '\n')
-                                
-                                Date = str(current_date)
-                                Time = str(current_time)
-                                species = entry[0]
-                                Sci_Name,Com_Name = species.split('_')
-                                score = entry[1]
-                                Confidence = str(round(score*100))
-                                Lat = str(args.lat)
-                                Lon = str(args.lon)
-                                Cutoff = str(args.min_conf)
-                                Week = str(args.week)
-                                Sens = str(args.sensitivity)
-                                Overlap = str(args.overlap)
-                                Com_Name = Com_Name.replace("'", "")
-                                File_Name = Com_Name.replace(" ", "_") + '-' + Confidence + '-' + \
-                                        Date.replace("/", "-") + '-birdnet-' + Time + audiofmt
-
-                                #Connect to SQLite Database
-                                try: 
-                                    con = sqlite3.connect(userDir + '/BirdNET-Pi/scripts/birds.db')
-                                    cur = con.cursor()
-                                    cur.execute("INSERT INTO detections VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)", (Date, Time, Sci_Name, Com_Name, str(score), Lat, Lon, Cutoff, Week, Sens, Overlap, File_Name))
-
-                                    con.commit()
-                                    con.close()
-                                except:
-                                    print("Database busy")
-                                    time.sleep(2)
-                                print(str(current_date) + ';' + str(current_time) + ';' + entry[0].replace('_', ';') + ';' + str(entry[1]) + ';' + str(args.lat) + ';' + str(args.lon) + ';' + str(min_conf) + ';' + str(week) + ';' + str(args.sensitivity) +';' + str(args.overlap) + Com_Name.replace(" ", "_") + '-' + str(score) + '-' + str(current_date) + '-birdnet-' + str(current_time) + audiofmt  + '\n')
-
-                                if birdweather_id != "99999":
-                                    try:
-
-                                        if soundscape_uploaded is False:
-                                            # POST soundscape to server
-                                            soundscape_url = "https://app.birdweather.com/api/v1/stations/" + birdweather_id +  "/soundscapes" + "?timestamp=" + current_iso8601
-    
-                                            with open(args.i, 'rb') as f:
-                                                wav_data = f.read()
-                                            response = requests.post(url=soundscape_url, data=wav_data, headers={'Content-Type': 'application/octet-stream'})
-                                            print("Soundscape POST Response Status - ", response.status_code)
-                                            sdata = response.json()
-                                            soundscape_id = sdata['soundscape']['id']
-                                            soundscape_uploaded = True
-    
-                                        # POST detection to server
-                                        detection_url = "https://app.birdweather.com/api/v1/stations/" + birdweather_id + "/detections"
-                                        start_time = d.split(';')[0]
-                                        end_time = d.split(';')[1]
-                                        post_begin = "{ "
-                                        now_p_start = now + datetime.timedelta(seconds=float(start_time))
-                                        current_iso8601 = now_p_start.astimezone(get_localzone()).isoformat()
-                                        post_timestamp =  "\"timestamp\": \"" + current_iso8601 + "\","
-                                        post_lat = "\"lat\": " + str(args.lat) + ","
-                                        post_lon = "\"lon\": " + str(args.lon) + ","
-                                        post_soundscape_id = "\"soundscapeId\": " + str(soundscape_id) + ","
-                                        post_soundscape_start_time = "\"soundscapeStartTime\": " + start_time + ","
-                                        post_soundscape_end_time = "\"soundscapeEndTime\": " + end_time + ","
-                                        post_commonName = "\"commonName\": \"" + entry[0].split('_')[1] + "\","
-                                        post_scientificName = "\"scientificName\": \"" + entry[0].split('_')[0] + "\","
-                                        post_algorithm = "\"algorithm\": " + "\"alpha\"" + ","
-                                        post_confidence = "\"confidence\": " + str(entry[1])
-                                        post_end = " }"
-    
-                                        post_json = post_begin + post_timestamp + post_lat + post_lon + post_soundscape_id + post_soundscape_start_time + post_soundscape_end_time + post_commonName + post_scientificName + post_algorithm + post_confidence + post_end
-                                        print(post_json)
-                                        response = requests.post(detection_url, json=json.loads(post_json))
-                                        print("Detection POST Response Status - ", response.status_code)
-                                    except:
-                                        print("Cannot POST right now")
-                conn.send(myReturn.encode(FORMAT))
-
-                                #time.sleep(3)
-
-    conn.close() 
-
-def start():
-    # Load model
-    global INTERPRETER, INCLUDE_LIST, EXCLUDE_LIST
-    INTERPRETER = loadModel()
-    server.listen()
-    print(f"[LISTENING] Server is listening on {SERVER}")
-    while True:
-        conn, addr = server.accept()
-        thread = threading.Thread(target=handle_client, args=(conn, addr))
-        thread.start()
-        print(f"[ACTIVE CONNECTIONS] {threading.activeCount() - 1}")
-
-
-print("[STARTING] server is starting...")
-start()
diff --git a/scripts/server.py b/scripts/server.py
index 34bf938..98ab410 100755
--- a/scripts/server.py
+++ b/scripts/server.py
@@ -48,6 +48,7 @@ userDir = os.path.expanduser('~')
 with open(userDir + '/BirdNET-Pi/scripts/thisrun.txt', 'r') as f:
     this_run = f.readlines()
     audiofmt = "." + str(str(str([i for i in this_run if i.startswith('AUDIOFMT')]).split('=')[1]).split('\\')[0])
+    priv_thresh = float("." + str(str(str([i for i in this_run if i.startswith('PRIVACY_THRESHOLD')]).split('=')[1]).split('\\')[0]))/10
 
 
 def loadModel():
@@ -165,14 +166,20 @@ def predict(sample, sensitivity):
 
     # Sort by score
     p_sorted = sorted(p_labels.items(), key=operator.itemgetter(1), reverse=True)
+                
+#     #print("DATABASE SIZE:", len(p_sorted))
+#     #print("HUMAN-CUTOFF AT:", int(len(p_sorted)*priv_thresh)/10)
+# 
+#     # Remove species that are on blacklist
+
+    human_cutoff = max(10,int(len(p_sorted)*priv_thresh))
 
-    # Remove species that are on blacklist
     for i in range(min(10, len(p_sorted))):
-        if p_sorted[i][0] in ['Human_Human', 'Non-bird_Non-bird', 'Noise_Noise']:
-            p_sorted[i] = (p_sorted[i][0], 0.0)
+        if p_sorted[i][0]=='Human_Human':
+            with open(userDir + '/BirdNET-Pi/HUMAN.txt', 'a') as rfile:
+                rfile.write(str(datetime.datetime.now())+str(p_sorted[i])+ ' '  + str(human_cutoff)+ '\n')
 
-    # Only return first the top ten results
-    return p_sorted[:10]
+    return p_sorted[:human_cutoff]
 
 def analyzeAudioData(chunks, lat, lon, week, sensitivity, overlap,):
     global INTERPRETER
@@ -194,14 +201,27 @@ def analyzeAudioData(chunks, lat, lon, week, sensitivity, overlap,):
 
         # Make prediction
         p = predict([sig, mdata], sensitivity)
-
+#        print("PPPPP",p)
+        HUMAN_DETECTED=False
+        
+        #Catch if Human is recognized
+        for x in range(len(p)):
+            if "Human" in p[x][0]:
+                HUMAN_DETECTED=True
+         
         # Save result and timestamp
         pred_end = pred_start + 3.0
+        
+        #If human detected set all detections to human to make sure voices are not saved
+        if HUMAN_DETECTED == True:
+            p=[('Human_Human',0.0)]*10
+
         detections[str(pred_start) + ';' + str(pred_end)] = p
+        
         pred_start = pred_end - overlap
 
     print('DONE! Time', int((time.time() - start) * 10) / 10.0, 'SECONDS')
-
+#    print('DETECTIONS:::::',detections)
     return detections
 
 def sendAppriseNotifications(species,confidence):
diff --git a/scripts/stats.php b/scripts/stats.php
index d546219..230a54a 100644
--- a/scripts/stats.php
+++ b/scripts/stats.php
@@ -52,6 +52,11 @@ if(isset($_GET['species'])){
   }
   $result3 = $statement3->execute();
 }
+
+$user = shell_exec("awk -F: '/1000/{print $1}' /etc/passwd");
+$home = shell_exec("awk -F: '/1000/{print $6}' /etc/passwd");
+$home = trim($home);
+file_put_contents($home."/BirdNET-Pi/scripts/disk_check_exclude.txt", "");
 ?>
 
 <html lang="en">
@@ -157,6 +162,10 @@ while($results=$result->fetchArray(SQLITE3_ASSOC))
 $comname = preg_replace('/ /', '_', $results['Com_Name']);
 $comname = preg_replace('/\'/', '', $comname);
 $filename = "/By_Date/".$results['Date']."/".$comname."/".$results['File_Name'];
+
+$excludefile = fopen($home."/BirdNET-Pi/scripts/disk_check_exclude.txt", "a") or die("Unable to open file!");
+$txt = $results['Date']."/".$comname."/".$results['File_Name']."\n".$results['Date']."/".$comname."/".$results['File_Name'].".png\n";
+fwrite($excludefile, $txt);
 ?>
       <tr>
       <form action="" method="GET">
@@ -174,5 +183,4 @@ $filename = "/By_Date/".$results['Date']."/".$comname."/".$results['File_Name'];
 </div>
 </div>
 </body>
-</html>
-
+</html>
\ No newline at end of file
diff --git a/scripts/update_birdnet_snippets.sh b/scripts/update_birdnet_snippets.sh
index e6ff1eb..c0e972b 100755
--- a/scripts/update_birdnet_snippets.sh
+++ b/scripts/update_birdnet_snippets.sh
@@ -9,8 +9,15 @@ if ! grep python3 <(head -n1 $my_dir/analyze.py) &>/dev/null;then
   echo "Ensure all python scripts use the virtual environment"
   sudo -u$USER sed -si "1 i\\#\!$HOME/BirdNET-Pi/birdnet/bin/python3" $my_dir/*.py
 fi
-if ! grep PRIVACY_MODE /etc/birdnet/birdnet.conf &>/dev/null;then
-  sudo -u$USER echo "PRIVACY_MODE=off" >> /etc/birdnet/birdnet.conf
+if ! grep PRIVACY_THRESHOLD /etc/birdnet/birdnet.conf &>/dev/null;then
+  sudo -u$USER echo "PRIVACY_THRESHOLD=0" >> /etc/birdnet/birdnet.conf
+  git -C $HOME/BirdNET-Pi rm $my_dir/privacy_server.py 
+fi
+if grep privacy ~/BirdNET-Pi/templates/birdnet_server.service &>/dev/null;then
+  sudo -E sed -i 's/privacy_server.py/server.py/g' \
+    ~/BirdNET-Pi/templates/birdnet_server.service
+  sudo systemctl daemon-reload
+  restart_services.sh
 fi
 if ! grep APPRISE_NOTIFICATION_TITLE /etc/birdnet/birdnet.conf &>/dev/null;then
   sudo -u$USER echo "APPRISE_NOTIFICATION_TITLE=\"New BirdNET-Pi Detection\"" >> /etc/birdnet/birdnet.conf