diff --git a/README.md b/README.md
index a8f85cc..bf852c9 100644
--- a/README.md
+++ b/README.md
@@ -77,20 +77,42 @@ Repeat compilation.
 
 If only building for native systems, it is possible to significantly reduce the complexity of the build by removing Bazel (and Docker). This simple approach builds only what is needed, removes build-time depenency fetching, increases the speed, and uses upstream Debian packages.
 
-To prepare your system, you'll need the following packages (both available on Debian Bookworm, Bullseye or Buster-Backports):
+To prepare your system, you'll need the following packages (both available on Debian Bookworm / Ubuntu 24.04):
 ```
-sudo apt install libabsl-dev libflatbuffers-dev
+sudo apt install libabsl-dev libusb-1.0-0-dev xxd
 ```
 
-Next, you'll need to clone the [Tensorflow Repo](https://github.com/tensorflow/tensorflow) at the desired checkout (using TF head isn't advised). If you are planning to use libcoral or pycoral libraries, this should match the ones in those repos' WORKSPACE files. For example, if you are using TF2.15, we can check that [tag in the TF Repo](https://github.com/tensorflow/tensorflow/tree/r2.15) get the latest commit for that stable release and then checkout that address:
+Next, build [FlatBuffers](https://github.com/google/flatbuffers) v23.5.26 required by TensorFlow v2.16.1 from source:
+
+```
+git clone --depth 1 --branch v23.5.26 https://github.com/google/flatbuffers.git
+cd flatbuffers/
+mkdir build && cd build
+cmake .. \
+    -DFLATBUFFERS_BUILD_SHAREDLIB=ON \
+    -DFLATBUFFERS_BUILD_TESTS=OFF \
+    -DCMAKE_BUILD_TYPE=Release \
+    -DCMAKE_INSTALL_PREFIX=/usr/local
+make -j$(nproc)
+sudo make install
+```
+
+Next, you'll need to clone the [Tensorflow Repo](https://github.com/tensorflow/tensorflow) at the desired checkout (using TF head isn't advised). If you are planning to use libcoral or pycoral libraries, this should match the ones in those repos' WORKSPACE files. For example, if you are using TF2.16.1, we can check that [tag in the TF Repo](https://github.com/tensorflow/tensorflow/tree/v2.16.1) and then checkout that address:
+Next, you'll need to clone the [Tensorflow Repo](https://github.com/tensorflow/tensorflow) at the desired checkout (using TF head isn't advised). If you are planning to use libcoral or pycoral libraries, this should match the ones in those repos' WORKSPACE files. For example, if you are using TF2.5, we can check that [tag in the TF Repo](https://github.com/tensorflow/tensorflow/commit/a4dfb8d1a71385bd6d122e4f27f86dcebb96712d) and then checkout that address:
 ```
-git clone https://github.com/tensorflow/tensorflow
-git checkout v2.16.1
+git clone --depth 1 --branch v2.16.1 https://github.com/tensorflow/tensorflow
 ```
 
 To build the library:
 ```
-TFROOT=<Directory of Tensorflow> make -f makefile_build/Makefile -j$(nproc) libedgetpu
+git clone https://github.com/google-coral/libedgetpu.git
+cd libedgetpu
+TFROOT=<Directory of Tensorflow> make -f makefile_build/Makefile -j$(nproc)
+```
+
+To build packages for Debian/Ubuntu:
+```
+debuild -us -uc -tc -b -d
 ```
 
 ## Support
diff --git a/makefile_build/Makefile b/makefile_build/Makefile
index ef7d290..80eee4c 100644
--- a/makefile_build/Makefile
+++ b/makefile_build/Makefile
@@ -14,6 +14,16 @@ CC=gcc
 CXX=g++
 FLATC=flatc
 
+ARCH := $(shell uname -m)
+ifeq ($(ARCH),armv7)
+  CPU := armv7a
+else ifeq ($(ARCH),aarch64)
+  CPU := aarch64
+else ifeq ($(ARCH),x86_64)
+  CPU := k8
+endif
+
+
 LIBEDGETPU_CFLAGS := \
 	-fPIC \
 	-Wall \
@@ -22,7 +32,7 @@ LIBEDGETPU_CFLAGS := \
 LIBEDGETPU_CXXFLAGS := \
 	-fPIC \
 	-Wall \
-	-std=c++14 \
+	-std=c++17 \
 	-DDARWINN_PORT_DEFAULT
 
 LIBEDGETPU_LDFLAGS := \
@@ -32,7 +42,7 @@ LIBEDGETPU_LDFLAGS := \
 	-Wl,--version-script=$(BUILDROOT)/tflite/public/libedgetpu.lds \
 	-fuse-ld=gold \
 	-lflatbuffers \
-	-labsl_flags \
+	-labsl_flags_usage \
 	-labsl_flags_internal \
 	-labsl_flags_reflection \
 	-labsl_flags_marshalling \
@@ -59,7 +69,6 @@ LIBEDGETPU_INCLUDES := \
 	$(BUILDDIR)/$(BUILDROOT)
 LIBEDGETPU_INCLUDES := $(addprefix -I,$(LIBEDGETPU_INCLUDES))
 
-LIBEDGETPU_CSRCS := $(TFROOT)/tensorflow/lite/c/common.c
 LIBEDGETPU_COBJS := $(call TOBUILDDIR,$(patsubst %.c,%.o,$(LIBEDGETPU_CSRCS)))
 
 LIBEDGETPU_CCSRCS := \
@@ -140,6 +149,8 @@ LIBEDGETPU_CCSRCS := \
 	$(BUILDROOT)/tflite/edgetpu_c.cc \
 	$(BUILDROOT)/tflite/edgetpu_delegate_for_custom_op.cc \
 	$(BUILDROOT)/tflite/edgetpu_delegate_for_custom_op_tflite_plugin.cc \
+	$(TFROOT)/tensorflow/lite/c/common_internal.cc \
+	$(TFROOT)/tensorflow/lite/array.cc \
 	$(TFROOT)/tensorflow/lite/util.cc
 LIBEDGETPU_CCOBJS := $(call TOBUILDDIR,$(patsubst %.cc,%.o,$(LIBEDGETPU_CCSRCS)))
 
@@ -202,13 +213,13 @@ $(LIBEDGETPU_STD_CCOBJS) : $(BUILDDIR)/%-throttled.o: %.cc
 	@$(CXX) -DTHROTTLE_EDGE_TPU $(LIBEDGETPU_CXXFLAGS) $(LIBEDGETPU_INCLUDES) -c $< -MD -MT $@ -MF $(@:%o=%d) -o $@
 
 libedgetpu: | firmware $(LIBEDGETPU_FLATC_OBJS) $(LIBEDGETPU_COBJS) $(LIBEDGETPU_CCOBJS) $(LIBEDGETPU_MAX_CCOBJS)
-	@mkdir -p $(BUILDDIR)/direct/k8
+	@mkdir -p $(BUILDDIR)/direct/$(CPU)
 	@echo "Building libedgetpu.so"
-	@$(CXX) $(LIBEDGETPU_CCFLAGS) $(LIBEDGETPU_LDFLAGS) $(LIBEDGETPU_COBJS) $(LIBEDGETPU_CCOBJS) $(LIBEDGETPU_MAX_CCOBJS) -o $(BUILDDIR)/direct/k8/libedgetpu.so.1.0
-	@ln -sf $(BUILDDIR)/direct/k8/libedgetpu.so.1.0 $(BUILDDIR)/direct/k8/libedgetpu.so.1
+	@$(CXX) $(LIBEDGETPU_CCFLAGS) $(LIBEDGETPU_LDFLAGS) $(LIBEDGETPU_COBJS) $(LIBEDGETPU_CCOBJS) $(LIBEDGETPU_MAX_CCOBJS) -o $(BUILDDIR)/direct/$(CPU)/libedgetpu.so.1.0
+	@ln -sf $(BUILDDIR)/direct/$(CPU)/libedgetpu.so.1.0 $(BUILDDIR)/direct/$(CPU)/libedgetpu.so.1
 
 libedgetpu-throttled: | firmware $(LIBEDGETPU_FLATC_OBJS) $(LIBEDGETPU_COBJS) $(LIBEDGETPU_CCOBJS) $(LIBEDGETPU_STD_CCOBJS)
-	@mkdir -p $(BUILDDIR)/throttled/k8
+	@mkdir -p $(BUILDDIR)/throttled/$(CPU)
 	@echo "Building throttled libedgetpu.so"
-	@$(CXX) $(LIBEDGETPU_CCFLAGS) $(LIBEDGETPU_LDFLAGS) $(LIBEDGETPU_COBJS) $(LIBEDGETPU_CCOBJS) $(LIBEDGETPU_STD_CCOBJS) -o $(BUILDDIR)/throttled/k8/libedgetpu.so.1.0
-	@ln -sf $(BUILDDIR)/throttled/k8/libedgetpu.so.1.0 $(BUILDDIR)/throttled/k8/libedgetpu.so.1
+	@$(CXX) $(LIBEDGETPU_CCFLAGS) $(LIBEDGETPU_LDFLAGS) $(LIBEDGETPU_COBJS) $(LIBEDGETPU_CCOBJS) $(LIBEDGETPU_STD_CCOBJS) -o $(BUILDDIR)/throttled/$(CPU)/libedgetpu.so.1.0
+	@ln -sf $(BUILDDIR)/throttled/$(CPU)/libedgetpu.so.1.0 $(BUILDDIR)/throttled/$(CPU)/libedgetpu.so.1
diff --git a/makefile_build/README.md b/makefile_build/README.md
index a0ed003..c11ed6c 100644
--- a/makefile_build/README.md
+++ b/makefile_build/README.md
@@ -2,18 +2,40 @@
 
 If only building for native systems, it is possible to significantly reduce the complexity of the build by removing Bazel (and Docker). This simple approach builds only what is needed, removes build-time depenency fetching, increases the speed, and uses upstream Debian packages.
 
-To prepare your system, you'll need the following packages (both available on Debian Bullseye):
+To prepare your system, you'll need the following packages (both available on Debian Bookworm / Ubuntu 24.04):
 ```
-sudo apt install libabsl-dev libflatbuffers-dev
+sudo apt install libabsl-dev libusb-1.0-0-dev xxd
 ```
 
+Next, build [FlatBuffers](https://github.com/google/flatbuffers) v23.5.26 required by TensorFlow v2.16.1 from source:
+
+```
+git clone --depth 1 --branch v23.5.26 https://github.com/google/flatbuffers.git
+cd flatbuffers/
+mkdir build && cd build
+cmake .. \
+    -DFLATBUFFERS_BUILD_SHAREDLIB=ON \
+    -DFLATBUFFERS_BUILD_TESTS=OFF \
+    -DCMAKE_BUILD_TYPE=Release \
+    -DCMAKE_INSTALL_PREFIX=/usr/local
+make -j$(nproc)
+sudo make install
+```
+
+Next, you'll need to clone the [Tensorflow Repo](https://github.com/tensorflow/tensorflow) at the desired checkout (using TF head isn't advised). If you are planning to use libcoral or pycoral libraries, this should match the ones in those repos' WORKSPACE files. For example, if you are using TF2.16.1, we can check that [tag in the TF Repo](https://github.com/tensorflow/tensorflow/tree/v2.16.1) and then checkout that address:
 Next, you'll need to clone the [Tensorflow Repo](https://github.com/tensorflow/tensorflow) at the desired checkout (using TF head isn't advised). If you are planning to use libcoral or pycoral libraries, this should match the ones in those repos' WORKSPACE files. For example, if you are using TF2.5, we can check that [tag in the TF Repo](https://github.com/tensorflow/tensorflow/commit/a4dfb8d1a71385bd6d122e4f27f86dcebb96712d) and then checkout that address:
 ```
-git clone https://github.com/tensorflow/tensorflow
-git checkout a4dfb8d1a71385bd6d122e4f27f86dcebb96712d -b tf2.5
+git clone --depth 1 --branch v2.16.1 https://github.com/tensorflow/tensorflow
 ```
 
 To build the library:
 ```
-TFROOT=<Directory of Tensorflow> make -j$(nproc) libedgetpu
+git clone https://github.com/google-coral/libedgetpu.git
+cd libedgetpu
+TFROOT=<Directory of Tensorflow> make -f makefile_build/Makefile -j$(nproc)
+```
+
+To build packages for Debian/Ubuntu:
+```
+debuild -us -uc -tc -b -d
 ```