diff --git a/development/stream_interface/create_dummy_streams.py b/development/stream_interface/create_dummy_streams.py
deleted file mode 100644
index 83387f868..000000000
--- a/development/stream_interface/create_dummy_streams.py
+++ /dev/null
@@ -1,80 +0,0 @@
-import argparse
-import os
-import subprocess
-import tempfile
-from glob import glob
-from threading import Thread
-import yaml
-
-
-CONFIG = {"protocols": ["tcp"], "paths": {"all": {"source": "publisher"}}}
-BASE_STREAM_URL = "rtsp://localhost:8554/live"
-
-
-def main(video_dir: str, n: int) -> None:
-    video_paths = glob(os.path.join(video_dir, "*.mp4")) + glob(os.path.join(video_dir, "*.webm"))
-    while len(video_paths) < n:
-        video_paths = video_paths * 2
-    video_paths = video_paths[:n]
-    try:
-        with tempfile.TemporaryDirectory() as tmp_dir:
-            config_path = os.path.join(tmp_dir, "rtsp-simple-server.yml")
-            with open(config_path, "w") as f:
-                yaml.dump(CONFIG, f)
-            run_server(config_path=config_path)
-            threads = []
-            for idx, video_path in enumerate(video_paths):
-                stream_url = f"{BASE_STREAM_URL}{idx}.stream"
-                print(f"Streaming {video_path} under {stream_url}")
-                threads.append(
-                    stream_video(video_path=video_path, stream_url=stream_url)
-                )
-            for t in threads:
-                t.join()
-    finally:
-        kill_server()
-
-
-def run_server(config_path: str) -> None:
-    command = (
-        f"docker run --rm --name rtsp_server -d -v {config_path}:/rtsp-simple-server.yml "
-        f"-p 8554:8554 aler9/rtsp-simple-server:v1.3.0"
-    )
-    return_code = run_command(command=command.split())
-    if return_code != 0:
-        raise RuntimeError("Could not run RTSP server!")
-
-
-def kill_server() -> None:
-    run_command(command="docker kill rtsp_server".split())
-
-
-def stream_video(video_path: str, stream_url: str) -> Thread:
-    return run_command_in_thread(
-        command=f"ffmpeg -re -stream_loop -1 -i ".split()
-        + [f"{video_path}"]
-        + f"-f rtsp -rtsp_transport tcp {stream_url}".split()
-    )
-
-
-def run_command_in_thread(command: list) -> Thread:
-    thread = Thread(target=run_command, args=(command,))
-    thread.start()
-    return thread
-
-
-def run_command(command: list) -> int:
-    completed = subprocess.run(command)
-    return completed.returncode
-
-
-if __name__ == "__main__":
-    parser = argparse.ArgumentParser("Script to run run dummy RTSP streams")
-    parser.add_argument(
-        "--video_dir", type=str, help="Directory with videos", required=True
-    )
-    parser.add_argument(
-        "--n", type=int, help="Number of streams", required=False, default=6
-    )
-    args = parser.parse_args()
-    main(video_dir=args.video_dir, n=args.n)
diff --git a/development/stream_interface/inference_pipeline_demo.py b/development/stream_interface/inference_pipeline_demo.py
deleted file mode 100644
index a592a513b..000000000
--- a/development/stream_interface/inference_pipeline_demo.py
+++ /dev/null
@@ -1,161 +0,0 @@
-import argparse
-import os
-import subprocess
-from datetime import datetime
-from functools import partial
-from threading import Thread
-from typing import Optional, Union
-
-import cv2
-import numpy as np
-import supervision as sv
-
-from inference.core.interfaces.camera.entities import VideoFrame
-from inference.core.interfaces.stream.inference_pipeline import InferencePipeline
-from inference.core.interfaces.stream.sinks import render_boxes, display_image, UDPSink, multi_sink
-from inference.core.interfaces.stream.watchdog import (
-    BasePipelineWatchDog,
-    PipelineWatchDog,
-)
-from inference.core.utils.environment import str2bool
-from inference.core.utils.preprocess import letterbox_image
-
-
-STOP = False
-
-MODELS = {
-    "a": "microsoft-coco/8",
-    "b": "microsoft-coco/9",
-    "c": "microsoft-coco/10",
-    "d": "microsoft-coco/11",
-    "e": "microsoft-coco/12",
-    "f": "eye-detection/39"
-}
-
-STREAM_SERVER_URL = os.getenv("STREAM_SERVER", "rtsp://localhost:8554")
-UDP_SERVER_HOST = os.getenv("UDP_SERVER_HOST", "127.0.0.1")
-UDP_SERVER_PORT = int(os.getenv("UDP_SERVER_PORT", "9999"))
-
-
-def main(
-    model_type: str,
-    stream_id: int,
-    max_fps: Optional[Union[int, float]],
-    enable_stats: bool,
-    output_type: str,
-) -> None:
-    global STOP
-    watchdog = BasePipelineWatchDog()
-    ffmpeg_process = None
-    sinks = []
-    if "video_stream" in output_type:
-        ffmpeg_process = open_ffmpeg_stream_process(stream_id=stream_id)
-        on_frame_rendered = partial(stream_prediction, ffmpeg_process=ffmpeg_process)
-        on_prediction = partial(
-            render_boxes,
-            display_statistics=enable_stats,
-            on_frame_rendered=on_frame_rendered,
-        )
-        sinks.append(on_prediction)
-    if "udp_stream" in output_type:
-        udp_sink = UDPSink.init(ip_address=UDP_SERVER_HOST, port=UDP_SERVER_PORT)
-        on_prediction = udp_sink.send_predictions
-        sinks.append(on_prediction)
-    if "display" in output_type:
-        on_prediction = partial(
-            render_boxes,
-            display_statistics=enable_stats,
-        )
-        sinks.append(on_prediction)
-    on_prediction = partial(multi_sink, sinks=sinks)
-    pipeline = InferencePipeline.init(
-        model_id=MODELS[model_type.lower()],
-        video_reference=f"{STREAM_SERVER_URL}/live{stream_id}.stream",
-        on_prediction=on_prediction,
-        max_fps=max_fps,
-        watchdog=watchdog,
-    )
-    control_thread = Thread(target=command_thread, args=(pipeline, watchdog))
-    control_thread.start()
-    pipeline.start()
-    STOP = True
-    pipeline.join()
-    if ffmpeg_process is not None:
-        ffmpeg_process.stdin.close()
-        ffmpeg_process.wait()
-
-
-def stream_prediction(image: np.ndarray, ffmpeg_process: subprocess.Popen) -> None:
-    ffmpeg_process.stdin.write(image[:, :, ::-1].astype(np.uint8).tobytes())
-
-
-def open_ffmpeg_stream_process(stream_id: int) -> subprocess.Popen:
-    args = (
-        "ffmpeg -re -stream_loop -1 -f rawvideo -pix_fmt "
-        "rgb24 -s 640x480 -i pipe:0 -pix_fmt yuv420p "
-        f"-f rtsp -rtsp_transport tcp {STREAM_SERVER_URL}/predictions{stream_id}.stream"
-    ).split()
-    return subprocess.Popen(args, stdin=subprocess.PIPE)
-
-
-def command_thread(pipeline: InferencePipeline, watchdog: PipelineWatchDog) -> None:
-    global STOP
-    while not STOP:
-        key = input()
-        if key == "i":
-            print(watchdog.get_report())
-        if key == "t":
-            pipeline.terminate()
-            STOP = True
-        elif key == "p":
-            pipeline.pause_stream()
-        elif key == "m":
-            pipeline.mute_stream()
-        elif key == "r":
-            pipeline.resume_stream()
-
-
-if __name__ == "__main__":
-    parser = argparse.ArgumentParser("Inference pipeline demo")
-    parser.add_argument(
-        "--model_type",
-        help=f"Type of a model from {list(MODELS.keys())}",
-        required=False,
-        type=str,
-        default="a",
-    )
-    parser.add_argument(
-        "--stream_id",
-        help=f"Id of a stream",
-        required=True,
-        type=int,
-    )
-    parser.add_argument(
-        "--max_fps",
-        help=f"Limit on FPS",
-        required=False,
-        type=int,
-        default=None,
-    )
-    parser.add_argument(
-        "--enable_stats",
-        help=f"Flag to decide if stats to be displayed - pass 0 to disable",
-        required=False,
-        type=str2bool,
-        default=True,
-    )
-    parser.add_argument(
-        "--output_type",
-        help=f"Flag to decide if output to be streamed or displayed on screen",
-        required=False,
-        type=str,
-        default="display",
-    )
-    args = parser.parse_args()
-    main(
-        model_type=args.model_type,
-        stream_id=args.stream_id,
-        max_fps=args.max_fps,
-        enable_stats=args.enable_stats,
-        output_type=args.output_type,
-    )
diff --git a/development/stream_interface/stream_video.py b/development/stream_interface/stream_video.py
deleted file mode 100644
index 0c1a33023..000000000
--- a/development/stream_interface/stream_video.py
+++ /dev/null
@@ -1,58 +0,0 @@
-import argparse
-import os
-import subprocess
-from glob import glob
-from threading import Thread
-
-BASE_STREAM_URL = "rtsp://localhost:8554/live"
-
-
-def main(video_dir: str, n: int, id_offset: int) -> None:
-    video_paths = glob(os.path.join(video_dir, "*.mp4")) + glob(os.path.join(video_dir, "*.webm"))
-    print(video_paths)
-    while len(video_paths) < n:
-        video_paths = video_paths * 2
-    video_paths = video_paths[:n]
-    threads = []
-    for idx, video_path in enumerate(video_paths):
-        stream_url = f"{BASE_STREAM_URL}{id_offset + idx}.stream"
-        print(f"Streaming {video_path} under {stream_url}")
-        threads.append(
-            stream_video(video_path=video_path, stream_url=stream_url)
-        )
-    for t in threads:
-        t.join()
-
-
-def stream_video(video_path: str, stream_url: str) -> Thread:
-    return run_command_in_thread(
-        command=f"ffmpeg -re -stream_loop -1 -i ".split()
-        + [f"{video_path}"]
-        + f"-f rtsp -rtsp_transport tcp {stream_url}".split()
-    )
-
-
-def run_command_in_thread(command: list) -> Thread:
-    thread = Thread(target=run_command, args=(command,))
-    thread.start()
-    return thread
-
-
-def run_command(command: list) -> int:
-    completed = subprocess.run(command)
-    return completed.returncode
-
-
-if __name__ == "__main__":
-    parser = argparse.ArgumentParser("Script to emit RTSP streams to RTSP server")
-    parser.add_argument(
-        "--video_dir", type=str, help="Directory with videos", required=True
-    )
-    parser.add_argument(
-        "--n", type=int, help="Number of streams", required=False, default=6
-    )
-    parser.add_argument(
-        "--id_offset", type=int, help="Offset of stream_id", required=False, default=0,
-    )
-    args = parser.parse_args()
-    main(video_dir=args.video_dir, n=args.n, id_offset=args.id_offset)
diff --git a/docker/dockerfiles/Dockerfile.onnx.cpu b/docker/dockerfiles/Dockerfile.onnx.cpu
index 4e300d6b8..23a88e297 100644
--- a/docker/dockerfiles/Dockerfile.onnx.cpu
+++ b/docker/dockerfiles/Dockerfile.onnx.cpu
@@ -3,7 +3,6 @@ FROM python:3.9 as base
 ARG DEBIAN_FRONTEND=noninteractive
 
 RUN apt update -y && apt install -y \
-    ffmpeg \
     libxext6 \
     libopencv-dev \
     uvicorn \
diff --git a/docker/dockerfiles/Dockerfile.onnx.cpu.parallel b/docker/dockerfiles/Dockerfile.onnx.cpu.parallel
index 1318783c8..bbfa70257 100644
--- a/docker/dockerfiles/Dockerfile.onnx.cpu.parallel
+++ b/docker/dockerfiles/Dockerfile.onnx.cpu.parallel
@@ -6,7 +6,6 @@ ARG DEBIAN_FRONTEND=noninteractive
 ARG TARGETPLATFORM
 
 RUN apt update -y && apt install -y \
-    ffmpeg \
     libxext6 \
     libopencv-dev \
     uvicorn \
diff --git a/docker/dockerfiles/Dockerfile.onnx.cpu.slim b/docker/dockerfiles/Dockerfile.onnx.cpu.slim
index c51fdaf3c..ddb5992be 100644
--- a/docker/dockerfiles/Dockerfile.onnx.cpu.slim
+++ b/docker/dockerfiles/Dockerfile.onnx.cpu.slim
@@ -4,7 +4,6 @@ ARG DEBIAN_FRONTEND=noninteractive
 ARG TARGETPLATFORM
 
 RUN apt update -y && apt install -y \
-    ffmpeg \
     libxext6 \
     libopencv-dev \
     uvicorn \
diff --git a/docker/dockerfiles/Dockerfile.onnx.cpu.stream_manager b/docker/dockerfiles/Dockerfile.onnx.cpu.stream_manager
index f6945c4b1..d1003dedf 100644
--- a/docker/dockerfiles/Dockerfile.onnx.cpu.stream_manager
+++ b/docker/dockerfiles/Dockerfile.onnx.cpu.stream_manager
@@ -5,7 +5,6 @@ WORKDIR /app
 ARG DEBIAN_FRONTEND=noninteractive
 
 RUN apt update -y && apt install -y \
-    ffmpeg \
     libxext6 \
     libopencv-dev \
     uvicorn \
diff --git a/docker/dockerfiles/Dockerfile.onnx.gpu b/docker/dockerfiles/Dockerfile.onnx.gpu
index 1d3d037d3..83bede9f2 100644
--- a/docker/dockerfiles/Dockerfile.onnx.gpu
+++ b/docker/dockerfiles/Dockerfile.onnx.gpu
@@ -3,7 +3,6 @@ FROM nvcr.io/nvidia/cuda:11.8.0-cudnn8-devel-ubuntu22.04 as base
 WORKDIR /app
 
 RUN rm -rf /var/lib/apt/lists/* && apt-get clean && apt-get update -y && DEBIAN_FRONTEND=noninteractive apt-get install -y \
-    ffmpeg \
     libxext6 \
     libopencv-dev \
     uvicorn \
diff --git a/docker/dockerfiles/Dockerfile.onnx.gpu.parallel b/docker/dockerfiles/Dockerfile.onnx.gpu.parallel
index 44d8aeb15..f53b6622b 100644
--- a/docker/dockerfiles/Dockerfile.onnx.gpu.parallel
+++ b/docker/dockerfiles/Dockerfile.onnx.gpu.parallel
@@ -3,7 +3,6 @@ FROM nvcr.io/nvidia/cuda:11.7.1-cudnn8-runtime-ubuntu22.04 as base
 WORKDIR /app
 
 RUN rm -rf /var/lib/apt/lists/* && apt-get clean && apt-get update -y && DEBIAN_FRONTEND=noninteractive apt-get install -y \
-    ffmpeg \
     libxext6 \
     libopencv-dev \
     uvicorn \
diff --git a/docker/dockerfiles/Dockerfile.onnx.gpu.slim b/docker/dockerfiles/Dockerfile.onnx.gpu.slim
index 41be637d7..ac983cfdc 100644
--- a/docker/dockerfiles/Dockerfile.onnx.gpu.slim
+++ b/docker/dockerfiles/Dockerfile.onnx.gpu.slim
@@ -3,7 +3,6 @@ FROM nvcr.io/nvidia/cuda:11.7.1-cudnn8-runtime-ubuntu22.04 as base
 WORKDIR /app
 
 RUN rm -rf /var/lib/apt/lists/* && apt-get clean && apt-get update -y && DEBIAN_FRONTEND=noninteractive apt-get install -y \
-    ffmpeg \
     libxext6 \
     libopencv-dev \
     uvicorn \
diff --git a/docker/dockerfiles/Dockerfile.onnx.gpu.stream_manager b/docker/dockerfiles/Dockerfile.onnx.gpu.stream_manager
index ecdf9ee9a..561cc2aba 100644
--- a/docker/dockerfiles/Dockerfile.onnx.gpu.stream_manager
+++ b/docker/dockerfiles/Dockerfile.onnx.gpu.stream_manager
@@ -3,7 +3,6 @@ FROM nvcr.io/nvidia/cuda:11.4.2-cudnn8-runtime-ubuntu20.04
 WORKDIR /app
 
 RUN rm -rf /var/lib/apt/lists/* && apt-get clean && apt-get update -y && DEBIAN_FRONTEND=noninteractive apt-get install -y \
-    ffmpeg \
     libxext6 \
     libopencv-dev \
     uvicorn \
diff --git a/docker/dockerfiles/Dockerfile.onnx.jetson.4.5.0 b/docker/dockerfiles/Dockerfile.onnx.jetson.4.5.0
index 21f7dd161..3b6fa882c 100644
--- a/docker/dockerfiles/Dockerfile.onnx.jetson.4.5.0
+++ b/docker/dockerfiles/Dockerfile.onnx.jetson.4.5.0
@@ -13,7 +13,6 @@ RUN apt-get update -y && apt-get upgrade -y && apt-get install -y \
     gfortran \
     build-essential \
     libatlas-base-dev \
-    ffmpeg \
     libsm6 \
     libxext6 \
     wget \
diff --git a/docker/dockerfiles/Dockerfile.onnx.jetson.4.6.1 b/docker/dockerfiles/Dockerfile.onnx.jetson.4.6.1
index 6ad8751c1..a83a1ca2d 100644
--- a/docker/dockerfiles/Dockerfile.onnx.jetson.4.6.1
+++ b/docker/dockerfiles/Dockerfile.onnx.jetson.4.6.1
@@ -28,7 +28,6 @@ RUN apt-get update -y && apt-get upgrade -y && apt-get install -y \
     gfortran \
     build-essential \
     libatlas-base-dev \
-    ffmpeg \
     libsm6 \
     libxext6 \
     wget \
diff --git a/docker/dockerfiles/Dockerfile.onnx.jetson.5.1.1 b/docker/dockerfiles/Dockerfile.onnx.jetson.5.1.1
index 2e2f5a3c4..877b30882 100644
--- a/docker/dockerfiles/Dockerfile.onnx.jetson.5.1.1
+++ b/docker/dockerfiles/Dockerfile.onnx.jetson.5.1.1
@@ -13,7 +13,6 @@ RUN apt-get update -y && apt-get install -y \
     gfortran \
     build-essential \
     libatlas-base-dev \
-    ffmpeg \
     libsm6 \
     libxext6 \
     wget \
diff --git a/docker/dockerfiles/Dockerfile.onnx.jetson.5.1.1.stream_manager b/docker/dockerfiles/Dockerfile.onnx.jetson.5.1.1.stream_manager
index 8c592227a..744160f7b 100644
--- a/docker/dockerfiles/Dockerfile.onnx.jetson.5.1.1.stream_manager
+++ b/docker/dockerfiles/Dockerfile.onnx.jetson.5.1.1.stream_manager
@@ -11,7 +11,6 @@ RUN apt-get update -y && apt-get install -y \
     gfortran \
     build-essential \
     libatlas-base-dev \
-    ffmpeg \
     libsm6 \
     libxext6 \
     wget \
diff --git a/docker/dockerfiles/Dockerfile.onnx.lambda b/docker/dockerfiles/Dockerfile.onnx.lambda
index f168c9fde..9ef86db9b 100644
--- a/docker/dockerfiles/Dockerfile.onnx.lambda
+++ b/docker/dockerfiles/Dockerfile.onnx.lambda
@@ -6,7 +6,6 @@ ARG DEBIAN_FRONTEND=noninteractive
 ARG TARGETPLATFORM
 
 RUN yum update -y && yum install -y \
-    ffmpeg \
     libsm6 \
     libxext6  \
     python3-pip \
diff --git a/docker/dockerfiles/Dockerfile.onnx.lambda.slim b/docker/dockerfiles/Dockerfile.onnx.lambda.slim
index 86b5179ad..28d57ade0 100644
--- a/docker/dockerfiles/Dockerfile.onnx.lambda.slim
+++ b/docker/dockerfiles/Dockerfile.onnx.lambda.slim
@@ -5,7 +5,6 @@ ARG DEBIAN_FRONTEND=noninteractive
 ARG TARGETPLATFORM
 
 RUN yum update -y && yum install -y \
-    ffmpeg \
     libsm6 \
     libxext6  \
     python3-pip \
diff --git a/docker/dockerfiles/Dockerfile.onnx.trt b/docker/dockerfiles/Dockerfile.onnx.trt
index 7a9158f19..c12d51f64 100644
--- a/docker/dockerfiles/Dockerfile.onnx.trt
+++ b/docker/dockerfiles/Dockerfile.onnx.trt
@@ -2,7 +2,6 @@ FROM nvcr.io/nvidia/tensorrt:22.12-py3
 WORKDIR /app
 
 RUN apt-get update -y && apt-get install -y \
-    ffmpeg \
     libsm6 \
     libxext6 \
     libopencv-dev \
diff --git a/docker/dockerfiles/Dockerfile.onnx.udp.gpu b/docker/dockerfiles/Dockerfile.onnx.udp.gpu
index 2f0f58ada..8698bcbec 100644
--- a/docker/dockerfiles/Dockerfile.onnx.udp.gpu
+++ b/docker/dockerfiles/Dockerfile.onnx.udp.gpu
@@ -3,7 +3,6 @@ FROM nvcr.io/nvidia/cuda:11.4.2-cudnn8-runtime-ubuntu20.04
 WORKDIR /app
 
 RUN apt-get update -y && DEBIAN_FRONTEND=noninteractive apt-get install -y \
-    ffmpeg \
     libxext6 \
     libopencv-dev \
     uvicorn \
diff --git a/docker/dockerfiles/Dockerfile.stream_management_api b/docker/dockerfiles/Dockerfile.stream_management_api
index b8c7c5e13..8ff63f0c1 100644
--- a/docker/dockerfiles/Dockerfile.stream_management_api
+++ b/docker/dockerfiles/Dockerfile.stream_management_api
@@ -5,7 +5,6 @@ WORKDIR /app
 ARG DEBIAN_FRONTEND=noninteractive
 
 RUN apt update -y && apt install -y \
-    ffmpeg \
     libxext6 \
     libopencv-dev \
     uvicorn \