diff --git a/plugins/tensorflow-coral/shinobi-tensorflow.js b/plugins/tensorflow-coral/shinobi-tensorflow.js
index 3840cc80..f7d5d8b9 100644
--- a/plugins/tensorflow-coral/shinobi-tensorflow.js
+++ b/plugins/tensorflow-coral/shinobi-tensorflow.js
@@ -13,63 +13,77 @@ var fs = require('fs');
 var config = require('./conf.json')
 var dotenv = require('dotenv').config()
 var s
-try{
-    s = require('../pluginBase.js')(__dirname,config)
-}catch(err){
+try {
+    s = require('../pluginBase.js')(__dirname, config)
+} catch (err) {
     console.log(err)
-    try{
-        s = require('./pluginBase.js')(__dirname,config)
-    }catch(err){
+    try {
+        s = require('./pluginBase.js')(__dirname, config)
+    } catch (err) {
         console.log(err)
-        return console.log(config.plug,'Plugin start has failed. pluginBase.js was not found.')
+        return console.log(config.plug, 'Plugin start has failed. pluginBase.js was not found.')
     }
 }
-// Base Init />>
-var spawn = require('child_process').spawn;
-var child = spawn('python3', ['-u', 'detect_image.py']);
+ 
+ 
 var ready = false;
-var lastStatusLog = new Date();
-
-child.on('close', function() {
-	child = spawn('python3', ['-u', 'detect_image.py']);
-});
-
-child.stdout.on('data', function (data) {
-    var rawString = data.toString('utf8');
-    if(new Date() - lastStatusLog > 5000){
-        lastStatusLog = new Date();
-        console.log(rawString, new Date());
-    }
-    var messages = rawString.split('\n')
-    messages.forEach((message) => {
-        if(message === "") return;
-        var obj = JSON.parse(message)
-        if (obj.type === "error") {
-            console.log("Script got error: "+message.data, new Date());
-            throw message.data;
+const spawn = require('child_process').spawn;
+var child = null
+function respawn() {
+ 
+    console.log("respawned python",(new Date()))
+    const theChild = spawn('python3', ['-u', 'detect_image.py']);
+ 
+    var lastStatusLog = new Date();
+ 
+    theChild.on('exit', () => {
+         child = respawn();
+    });
+ 
+    theChild.stdout.on('data', function (data) {
+        var rawString = data.toString('utf8');
+        if (new Date() - lastStatusLog > 5000) {
+            lastStatusLog = new Date();
+            console.log(rawString, new Date());
         }
-
-        if (obj.type === "info" && obj.data === "ready") {
-            console.log("set ready true")
-            ready = true;
-        } else {
-            if(obj.type !== "data" && obj.type !== "info"){
-                throw "Unexpected message: "+rawString;
+        var messages = rawString.split('\n')
+        messages.forEach((message) => {
+            if (message === "") return;
+            var obj = JSON.parse(message)
+            if (obj.type === "error") {
+                console.log("Script got error: " + message.data, new Date());
+                throw message.data;
             }
-        }
+ 
+            if (obj.type === "info" && obj.data === "ready") {
+                console.log("set ready true")
+                ready = true;
+            } else {
+                if (obj.type !== "data" && obj.type !== "info") {
+                    throw "Unexpected message: " + rawString;
+                }
+            }
+        })
     })
-})
-
-const emptyDataObject = {data: [], type: undefined, time: 0};
-
+    return theChild
+}
+ 
+ 
+ 
+ 
+// Base Init />>
+child = respawn();
+ 
+const emptyDataObject = { data: [], type: undefined, time: 0 };
+ 
 async function process(buffer, type) {
     const startTime = new Date();
-    if(!ready){
+    if (!ready) {
         return emptyDataObject;
     }
     ready = false;
-    child.stdin.write(buffer.toString('base64')+'\n');
-
+    child.stdin.write(buffer.toString('base64') + '\n');
+ 
     var message = null;
     await new Promise(resolve => {
         child.stdout.once('data', (data) => {
@@ -78,7 +92,7 @@ async function process(buffer, type) {
                 message = JSON.parse(rawString)
             }
             catch (e) {
-                message = {data: []};
+                message = { data: [] };
             }
             resolve();
         });
@@ -91,15 +105,15 @@ async function process(buffer, type) {
         time: new Date() - startTime
     }
 }
-
-
-s.detectObject = function(buffer,d,tx,frameLocation,callback){
-    process( buffer).then((resp)=>{
+ 
+ 
+s.detectObject = function (buffer, d, tx, frameLocation, callback) {
+    process(buffer).then((resp) => {
         var results = resp.data
         //console.log(resp.time)
-        if(Array.isArray(results) && results[0]){
+        if (Array.isArray(results) && results[0]) {
             var mats = []
-            results.forEach(function(v){
+            results.forEach(function (v) {
                 mats.push({
                     x: v.bbox[0],
                     y: v.bbox[1],
@@ -110,19 +124,19 @@ s.detectObject = function(buffer,d,tx,frameLocation,callback){
                 })
             })
             var isObjectDetectionSeparate = d.mon.detector_pam === '1' && d.mon.detector_use_detect_object === '1'
-            var width = parseFloat(isObjectDetectionSeparate  && d.mon.detector_scale_y_object ? d.mon.detector_scale_y_object : d.mon.detector_scale_y)
-            var height = parseFloat(isObjectDetectionSeparate  && d.mon.detector_scale_x_object ? d.mon.detector_scale_x_object : d.mon.detector_scale_x)
+            var width = parseFloat(isObjectDetectionSeparate && d.mon.detector_scale_y_object ? d.mon.detector_scale_y_object : d.mon.detector_scale_y)
+            var height = parseFloat(isObjectDetectionSeparate && d.mon.detector_scale_x_object ? d.mon.detector_scale_x_object : d.mon.detector_scale_x)
             tx({
-                f:'trigger',
-                id:d.id,
-                ke:d.ke,
-                details:{
-                    plug:config.plug,
-                    name:'Tensorflow',
-                    reason:'object',
-                    matrices:mats,
-                    imgHeight:width,
-                    imgWidth:height,
+                f: 'trigger',
+                id: d.id,
+                ke: d.ke,
+                details: {
+                    plug: config.plug,
+                    name: 'Tensorflow',
+                    reason: 'object',
+                    matrices: mats,
+                    imgHeight: width,
+                    imgWidth: height,
                     time: resp.time
                 }
             })