Package: speedhunter
Version: 4.0.0-1
Architecture: arm64
Maintainer: SpeedHunter Maintainers <dev@speedhunter.example>
Installed-Size: 428830
Depends: python3 (>= 3.10), python3-venv, python3-pyqt5, python3-opencv, python3-gi, python3-gst-1.0, gstreamer1.0-tools, gstreamer1.0-plugins-base, gstreamer1.0-plugins-good, gstreamer1.0-plugins-bad, gstreamer1.0-plugins-ugly, libgstreamer1.0-dev, v4l-utils, xdg-utils, nftables, nvidia-l4t-core (>= 36.4), nvidia-l4t-jetson-multimedia-api, libnvinfer10 (>= 10.3.0), libnvinfer-plugin10 (>= 10.3.0), libcudnn9-cuda-12, adduser
Recommends: speedhunter-models, speedhunter-config-default, chrony, cups
Suggests: tailscale
Conflicts: speedhunter-legacy
Homepage: https://github.com/speedhunter/speedhunter
Priority: optional
Section: utils
Filename: pool/main/s/speedhunter/speedhunter_4.0.0-1_arm64.deb
Size: 81498616
SHA256: 36235db860d63ad725fda053ed90e45fc027fc314c2be93f4ae3a099ba59990a
SHA1: 4b2f9ba9b8a0e92d88344918cd1991d6ec2a92fb
MD5sum: e59a7c659ff2d6761e831440911561b7
Description: Traffic enforcement system — radar + camera fusion (NVIDIA Jetson)
 SpeedHunter 4.0 is a multi-process traffic enforcement system that fuses
 radar tracks with camera-based vehicle, helmet, and license plate
 detection. It runs as a set of systemd-supervised services on NVIDIA
 Jetson Orin NX hardware (JetPack 6.x / L4T R36.4+).
 .
 This package installs the application code, the Python virtual environment
 with bundled non-apt dependencies, the systemd unit files, and the udev
 rules that pin USB peripherals. Models ship separately in the
 speedhunter-models package; default configuration ships in
 speedhunter-config-default.

Package: speedhunter-config-default
Source: speedhunter
Version: 4.0.0-1
Architecture: all
Maintainer: SpeedHunter Maintainers <dev@speedhunter.example>
Installed-Size: 23508
Recommends: speedhunter
Homepage: https://github.com/speedhunter/speedhunter
Priority: optional
Section: utils
Filename: pool/main/s/speedhunter/speedhunter-config-default_4.0.0-1_all.deb
Size: 23726262
SHA256: b9bd0c9ecaed565bd6939b4d704f7e7eaacb523db6fddb412bd74e314c5e1a1e
SHA1: 7cd26e5a08dba590662ad0275eeedbb77402dfbb
MD5sum: ade2ec912e5874c9bcd8e8d836fa5751
Description: Default YAML configuration for SpeedHunter
 Default detection.yaml, system.yaml, camera.yaml, radar.yaml,
 evidence.yaml, fleet.yaml, detection_night.yaml, detection_ranges.yaml,
 plus calibration_profiles/. Installed to /etc/speedhunter/.
 .
 All files in this package are conffiles — dpkg preserves operator edits
 across package upgrades. Sensitive values (FLEET_API_KEY, ANPR_API_KEY)
 are NOT shipped here; see /etc/speedhunter/*.env.example for the
 environment-file templates and follow the production-docs/PHASE_MINUS_1
 checklist to populate them.

Package: speedhunter-models
Source: speedhunter
Version: 4.0.0-1
Architecture: arm64
Maintainer: SpeedHunter Maintainers <dev@speedhunter.example>
Installed-Size: 55439
Depends: libnvinfer10 (>= 10.3.0)
Recommends: speedhunter (= 4.0.0-1)
Homepage: https://github.com/speedhunter/speedhunter
Priority: optional
Section: utils
Filename: pool/main/s/speedhunter/speedhunter-models_4.0.0-1_arm64.deb
Size: 33398204
SHA256: a028e72bf22370bbb77be55c7dc2b8f8273d737e33423b0e45c7941505d0fbc5
SHA1: db509cbd67e2857574b22b2a24923118d5627475
MD5sum: 24a1a4bfffd6cba500b99464440205ae
Description: TensorRT engine models for SpeedHunter
 Pre-built TensorRT .engine files for vehicle detection, helmet detection,
 and night-time license-plate detection. Engines are TensorRT-version- and
 JetPack-version-specific; this package must be built on the same JetPack
 release as the target deployment.
 .
 Installed to /opt/speedhunter/models/ with mode 0444 root:root.