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--- snapcon2022:presentation-notes [2022/08/01 18:07] – [Object Detection (Ilgar, 3 mins)] rolf001
+++ snapcon2022:presentation-notes [2023/01/05 14:38] (current) – external edit 127.0.0.1
@@ Line 33: / Line 33: @@
   * https://wiki.eolab.de/doku.php?id=drones:mini_drones:snap_tello
-===== Object Detection (Ilgar, 3 mins) =====
+===== Jetbot and Object Detection with SNAP! (Ali, 3 mins, with Alonzo driver) =====
+  * Object follower
+  * Jetbot Camera
+  * SNAP! is running remotely, could be running on Jetbot
+  * DetectNet (SSD-MobileNet V2, CoCo Dataset, 91 Classes)
+  * Closed Loop Control
+  * TODO: Short video!
+===== Object Detection: Follow an Object with Drone (Ilgar, 3 mins, with Alonzo pilot) =====
   * Based on Harley's presentation on Tello SNAP! interaction
@@ Line 40: / Line 50: @@
     * Video stream from Tello drone to SNAP! (25 fps)
     * Video stream from SNAP! to Jetson (extacting stage in base64 format, send message, wait response, sequential, 7 fps)
-    * Receive response
+    * Receive response from Jetson to SNAP! (bounding box, class label, coordinate transformation to the stage)
   * Frame rate incl. analysis is 7 fps
-  * Problem: Realtime delay (latency) within the Tello drone video stream!
+  * Problem (not serious): Realtime delay (latency) within the Tello drone video stream!
+  * TODO: Short video!