Raspberry Pi Developer-Radio Dispatch Panel (SDR Audio + Speech to Text + Display)

@amelectronics

Hi, I have experience in designing Circuits and can complete your project. I have expertise in the following: 1- Designing schematic and PCBA 2- Ordering the PCBA and getting boards manufactured. 3- Writing firmware for the PCBA to make sure everything works as expected. 4- I can also develop smartphone apps to communicate and control the hardware. If you wish we can discuss in chat. Thank you.

@SPARKtechBD

Since 2003 I am working in Digital Electronic. So more than 18 years of experience in Electronics. Arduino NANO/UNO/MEGA, ESP32 and Raspberry PI to build a digital device to read sensor data and send it to the web server, motor control, control relay switches and LEDs. More than 5(five) years of experience in Arduino design and build. If you want an excellent and error-free project delivery, then send a message to me, please. Have more than 10(years) years of experience in C/C++ to build Windows/Linux applications and micro-controller firmware building. If you want a good job delivery, then send a message to me, please. Since 1995 I have been working on Analog and Digital Electronics to build any kind of device. I have build lots of devices. So more than 20 years of experience on Electronics. Including power supply design. Any kinds of schematic and PCB design. Expert PCB design in EasyEDA Pro IDE

@markoa7

I’m Marko, an experienced electronic hardware and firmware engineer with an extensive background in Raspberry Pi development. With a strong competency in PCB design and firmware development, I am confident in delivering an end-to-end solution that aligns with your requirements seamlessly. In line with this project, I have hands-on experiences with RTL-SDR dongles, ham radio projects, RF circuits design and IoT devices which make me the perfect fit for this project. With my knowledge of Python programming and experience in audio processing, I can ensure the capturing of live radio dispatch audio streams, implementing speech-to-text functionality to pull out pertinent call details (required for this project) without compromising on performance or accuracy. Also, my past involvement with SQLite databases will be valuable for developing features like logging calls history and incorporating keep/delete controls. In conclusion, hiring me means you get not only a professional who's versed in handling complex electronic systems but also a dedicated individual who guarantees high-quality deliverables within agreed timelines. My work is never done until you're fully satisfied as a client. Let's turn your ideas into a reality!

@RaspberryOculus

With over 27 years as a Systems Architect encompassing both software and electronic fields, I am confident that I am the best fit for your Raspberry Pi Developer-Radio Dispatch Panel project. Not only have I executed numerous hardware programs for esteemed clients such as the military and medical fraternities but have also specialized in FPGA & RF work - including Digital Down Conversion IP Cores and NCO/PLL architecture. Hence RTL-SDR tasks come inherently within my expertise. Additionally, my comfort with Python, experience with embedded SoCs like STM32 and ARM Cortex-M, plus knowledge of Zephyr RTOS present me with the versatility this project needs. My portfolio boasts implementation of various IoT devices inclusive of autonomous SDR systems and aircraft communication equipment which mirror perfect alignment to your project prerequisites. Moreover, I believe in delivering not just lines of code but ‘the ground truth'. This implies that your prescribed panel would be fortified with thorough benchmark tables for latency, jitter, power draw and assurances derived from physical oscilloscope verification. Your satisfaction with my work is not just a possibility but a guarantee. My location in [your city/country] also avails immediate accessibility for shipping as per your project needs. Let me help you create an outstanding end-to-end monitoring solution!

@tshibsamuel477

Hi there, I have carefully reviewed your dispatch-panel requirements and the attached Nanaimo Fire Rescue brief. I understand the full v1 workflow: RTL-SDR radio capture, tone-out detection, live audio playback, call-type extraction, incident-feed matching, SQLite history, night-mode alerts, and a compact 5–7" wall-mounted interface. With nearly five years of experience in mechatronics, Raspberry Pi/Linux, embedded systems, sensors, Python integration, and hardware prototyping, I can build and test the complete turnkey device, including hardware sourcing, enclosure integration, SDR/audio processing, UI, database, and documentation. I can also deliver the full source code and a hardware-cost breakdown before purchasing components. Please send me a message so we can confirm the audio source, enclosure, latency target, and shipping destination. Best regards, Samuel tshibangu

@corpmember29

Hello, RASPBERRY PI RADIO DISPATCH PANEL {{{ I HAVE CREATED SIMILAR EMBEDDED / HARDWARE PROJECTS BEFORE AND I CAN SHOW YOU }}} I carefully reviewed your project brief and understand the complete v1 scope. The panel will capture live radio through RTL-SDR/Broadcastify, detect the two-tone page-out, play the audio, extract only the call type using lightweight speech-to-text, and match the incident feed for time, address, and units. I am having 13+ years of experience in the required technologies and can handle the Raspberry Pi, Python, SDR/audio processing, SQLite, touchscreen UI, GPIO volume controls, night-mode alerts, and searchable call history. I can also source and assemble the Raspberry Pi, 5"–7" display, RTL-SDR, speaker/amp, buttons, and wall-mounted enclosure as required. I WILL PROVIDE 2 YEAR FREE ONGOING SUPPORT AND COMPLETE SOURCE CODE. I eagerly await your positive response. Thanks, Christina

@PINESCRIPTERR

The part most likely to cause unreliable results is not the display or speech recognition; it is matching a radio page-out to an incident-feed entry that may arrive later or share a similar timestamp. I would create a provisional call immediately, then reconcile it as feed data arrives using time windows, units, and duplicate protection. I would build this as an embedded appliance rather than a collection of scripts. Separate services would handle SDR/stream capture, tone detection, live speaker playback, local speech-to-text, feed polling, SQLite storage, and the kiosk UI. Each service would restart independently, report its health, and continue safely if the network or incident feed becomes unavailable. Tone frequencies and thresholds would be calibrated from real samples to reduce false triggers. The UI would support provisional call states, night alerts, acknowledgement, history, replay, retention controls, and physical GPIO volume buttons. I would also leave clean interfaces for future satellite panels without adding that complexity to v1. The handoff would include the assembled unit, source code, configuration backup, hardware manifest, and maintenance instructions. Can you provide several real page-out recordings with their matching incident-feed entries for calibration and testing? Regards, Houssame

@leonidye

Hi, I’ve reviewed the project requirements and can develop the complete Raspberry Pi-based dispatch panel, including the **RTL-SDR radio capture, two-tone/page-out detection, audio recording/playback, lightweight speech-to-text, RSS incident matching, local SQLite database, and touchscreen UI**. I can build the system around Raspberry Pi with a 5–7" display, RTL-SDR, audio amplifier/speaker, physical volume controls, Wi-Fi, and a compact wall-mounted enclosure. The software can be structured as independent services for SDR/audio acquisition, tone detection, speech processing, RSS polling, event correlation, database logging, and the local display interface, making the system easier to debug and maintain. I’ll also handle the complete hardware integration, assembly, configuration, testing, and final source-code handover. The UI will include standby/night mode, red flashing alerts, acknowledgement, current-call information, and searchable call history with keep/delete controls. I’m experienced with Raspberry Pi, embedded Linux, Python, electronics integration, SDR/radio systems, audio processing, and SQLite-based applications, and can provide a complete working device rather than only software. Regards,

@hayat38402

Hello, I am Muhammad Javed, an electrical engineer with more than 10 years of experience in Raspberry Pi, embedded Linux, SDR, audio processing, IoT hardware, and Python development. I can build your complete turnkey wall-mounted dispatch monitoring device, including hardware sourcing, assembly, software development, testing, and shipment. I understand the full workflow: RTL-SDR or internet-stream capture, two-tone/page-out detection, real-time audio playback, lightweight speech-to-text for call-type extraction, RSS incident matching by timestamp, and SQLite logging. I can integrate a Raspberry Pi, 5–7" display, SDR dongle, amplifier/speaker, physical volume buttons, Wi-Fi, and a compact wall-mount enclosure. The UI will include standby dimming, red flashing alerts, acknowledgement, live call type/units/time/address, and searchable call history with keep/delete controls. I will deliver a fully assembled and tested device, source code, setup/maintenance documentation, and complete hardware BOM with cost breakdown. I will also perform long-duration testing to verify reliable unattended operation before shipment. I am based in Pakistan and can provide the exact hardware and shipping estimate once your destination is confirmed. I can start immediately after reviewing your full specification and radio/RSS sources.

@hayteekeys

HI, KINDLY READ THROUGH MY PROPOSAL I will design, build, assemble and ship a complete wall-mounted fire/EMS dispatch monitor that captures live radio (RTL-SDR or stream), detects tone-outs, plays audio, extracts call type via speech-to-text, matches RSS incidents, and displays real-time call details on a compact screen with night mode and local history. MY APPROACH ✅ Raspberry Pi + RTL-SDR audio capture and tone detection ✅ Real-time playback, lightweight STT for call type, RSS matching ✅ Compact wall-mounted enclosure with screen, speaker, volume buttons and night/alert modes ✅ Full assembly, testing and shipping of a ready-to-plug-in unit DELIVERABLES - Fully assembled working device - Source code + brief user/maintenance documentation - Hardware cost breakdown included in quote QUESTIONS 1. Please share the full written specification (PDF/Word). 2. Target shipping location and any preferred screen size or enclosure style? Ready to start immediately after reviewing the full spec.

@tetianam8

⭐⭐⭐⭐⭐ I can build this as a complete Raspberry Pi-based appliance rather than leaving you with a development kit. The combination of RTL-SDR capture, two-tone detection, audio playback, lightweight speech recognition, RSS matching, SQLite logging and a dedicated wall-display UI is a project I’d approach as one integrated system. I have 15+ years of electronics/embedded development experience and can handle the hardware integration, Python/Linux software, enclosure assembly, testing and documentation. I’m not a licensed engineer, but I’m comfortable taking prototype systems through practical build and validation. My proposed workflow is: configure and test the SDR/audio chain first, implement reliable tone/page detection, then add speech extraction and timestamp-based incident matching. The local UI will handle standby/night mode, red alert state, acknowledgement, history and physical volume controls. I’ll test the complete unit with simulated/recorded dispatch traffic before shipment. I can source the Pi, 5–7" display, RTL-SDR, amplifier/speaker, controls and enclosure and provide the itemized hardware cost separately from development labor. Please send the full specification and confirm the target radio frequency/location and public RSS feed. Those two details are important for confirming reception and matching reliability before I quote the complete turnkey build.

@mayr81

I can deliver a turnkey Raspberry Pi wall-mounted radio dispatch panel that captures live dispatch audio, detects two-tone page/alert events, records the call clip, performs lightweight call-type speech-to-text, and displays the matched incident (address/time/units) in real time with night-mode red alert behavior. Build scope: source and assemble the full hardware stack (Pi, 5-7" display, RTL-SDR dongle or stream fallback, speaker/amp, enclosure, volume buttons), configure Wi‑Fi, and ship a device ready to plug in. Software scope: Python pipeline for SDR audio capture + page-out detection, clip recording, call-type extraction (not full transcript), SQLite logging with history view and retention/clear controls, and a simple local UI/display app. RSS polling will match new incidents by timestamp window. Included deliverables: fully assembled working unit, brief power-on/maintenance documentation, and full source code handed over. Hardware cost breakdown: provided in the bid quote, covering each sourced component and assembly items.

@vishal1145

Your two-tone detection logic will fail if the dispatch center uses Quick Call II or Hi-Low tones instead of standard DTMF pairs. This matters because misidentified alerts mean missed calls or false triggers every single day. Quick questions - are you monitoring a Motorola or Unication paging system? And what's your acceptable latency between tone-out and screen display? Here is the architectural approach: - RTL-SDR + PYTHON: Build a custom demodulator using GNU Radio blocks to isolate your target frequency and pipe raw audio into a tone-squelch detector. - SPEECH-TO-TEXT: Run Vosk offline on the Pi 4 for sub-2-second transcription without cloud dependencies that introduce failure points during internet outages. - SQLITE + RASPBERRY PI: Design a local event queue that timestamps every tone detection, matches RSS feed data via fuzzy logic, and stores call metadata with audio clips. I've built similar SDR-based monitoring systems for volunteer fire departments that process 40+ calls per day without missing alerts. Let's schedule a 15-minute call to review your full spec and confirm hardware sourcing before I finalize the build cost.

@yaroslavmark

Hi, I’m a senior embedded hardware/firmware engineer with 10+ years of experience delivering 25+ custom PCBs and complete Raspberry Pi/MCU-based embedded systems. I have developed production IoT, wireless, audio, and sensor products, with 40+ production-ready hardware packages and hands-on Python, Linux, C/C++, and embedded integration experience. Approach ✅ I will build the Raspberry Pi 4/5 architecture around RTL-SDR capture, Python tone-out detection, low-latency audio playback, and lightweight Whisper/keyword extraction. ✅ I will implement the incident-feed polling/matching layer, SQLite call/audio logging, kiosk UI, history/replay, GPIO volume controls, and night-mode red alert workflow. ✅ I will integrate the 5"–7" display, speaker/USB or I2S amplifier, SDR antenna, buttons, and compact wall enclosure, then assemble and validate the complete unit. Questions ✅What is the preferred primary audio source: RTL-SDR hardware or Broadcastify, and what latency is acceptable between page-out and display update? ✅What exact enclosure dimensions/screen model, alert acknowledgment behavior, and audio retention period should I target? Best, Yaroslav

@rosscarter1011

hello, The heart of this whole device, the piece everything else waits on, is reliable two-tone detection, since the panel does nothing until it correctly recognises a page-out, and getting that right is genuinely the hard part, because fire and EMS dispatch uses specific two-tone sequences that have to be detected accurately against a noisy radio channel without firing on every burst of chatter. So the real engineering is that tone-detection layer, since a panel that misses real pages or false-triggers constantly is worse than useless in an emergency context, and everything downstream, the recording, playback, speech-to-text, and RSS match, only makes sense once the trigger is dependable. The clever part of your design that I would build carefully is the timestamp matching, since pulling the call type from the audio and then matching it to the RSS feed by time to fill in address and units is what makes this genuinely useful, but feeds lag, so I would build that matching to tolerate a delay window rather than expecting an exact-second match, since the incident often hits the feed a little after the page. As a turnkey build I would source the Pi, a 5 to 7 inch screen, the RTL-SDR dongle, speaker and amp, buttons, and enclosure, assemble and test the whole thing, and ship it ready to plug in, with the night mode, red alert, volume buttons, and SQLite history all working, plus documentation and source. I would confirm the hardware breakdown and shipping in the quote once I have read your spec. Do you know the specific two-tone frequencies for the department you are monitoring, or is detecting those from the live channel part of the work, since that shapes the detection setup? And is the RTL-SDR the primary capture method, with the internet stream as backup, or would you rather the stream be primary since it is simpler and more reliable where available? have a nice day.

@pasion0128

★•══•★ Hi client ★•══•★ I’ve worked with Raspberry Pi and RTL-SDR setups before, so capturing live radio and processing audio in Python is right up my alley. I’d focus on smooth detection of those two-tone alerts, clear real-time playback, and a simple but effective speech-to-text to nail down call types without overcomplicating things. For the hardware, I’ll source all parts—Pi, screen, SDR dongle, speaker, enclosure, buttons—and provide a clear cost breakdown. The UI will be clean and easy to read with night mode and alert features as you want. Plus, I’ll set up a local SQLite database for call logs with straightforward controls. I’m happy to share past projects involving SDR and embedded audio systems to build your confidence. How soon would you like me to start putting together the spec details? Best regards, Rico

@abdurRafiqM

HI, I am an experienced electronics and PCB Design engineer, specialised in use of ECAD software such as Altium Designer, KICAD, EasyEDA, etc. for the the design of electronics and PCB. I will design your projects to meet your Requirements and the industry standard. I do all kinds of circuits such as Power delivery circuit, Sensor Integrated Circuits, wireless control, MCUs etc. I will deliver the following. The Schematics for your Design The PCB for the design Bill of materials(If needed) Gerber, Pick and Place and other manufacturing and assembly drawings needed. Full Support and consultancy till the project is done. Kindly send me message for my previous designs and also so we can discuss further on your project I look Forward to working with you. Best Regards, Abdur-Rafiq

@sekai1116

✅ Thank you for the opportunity to bid ✅ I've reviewed your spec summary and this is a well-defined embedded build — RTL-SDR audio capture, tone-out detection, lightweight speech-to-text, RSS correlation, and a wall-mounted display, all running on a Raspberry Pi. My approach: Raspberry Pi 4 (or 5) as the core, RTL-SDR dongle for live frequency capture with an internet-stream fallback, a small DSP/tone-detection script to catch the two-tone page-out and trigger recording, a lightweight local speech-to-text model (e.g., Vosk) to extract just the call type, and a background poller matching the RSS feed by timestamp for address/units/time. UI built in Python (Kivy or a lightweight PyQt/web-kiosk interface) on a 5–7" touchscreen, with night-mode dimming and red flashing alert states, physical volume buttons wired through GPIO, and SQLite for call history with keep/delete controls. I have experience with Raspberry Pi embedded builds and Python-based audio/signal processing, and I'm comfortable sourcing, assembling, and testing the full hardware stack before shipping — happy to share relevant past project examples. I'll provide a full hardware cost breakdown and shipping estimate to your location once I have your city/country and full written spec. Looking forward to reviewing the PDF spec and discussing timeline.

@albertc1996

I've built this exact type of Raspberry Pi dispatch device before, including live radio audio capture, event detection, speech-based call classification, and a local display. Two challenges I’ve already solved are reliably separating two-tone page-outs from background audio and matching incomplete speech results with incident-feed data; I handled those with tuned audio thresholds, short recording windows, and timestamp-based matching with sensible fallbacks. Your goal is a dependable, plug-in wall panel that captures or receives dispatch audio, identifies the call type, and presents the address, units, and time clearly while keeping a searchable local history. I’d first review the full specification and confirm the radio frequency, RSS format, and screen constraints. Then I’d prototype the audio and matching pipeline, test it against real samples, and assemble the Pi, display, SDR, speaker/amp, controls, and enclosure. I’ll provide a hardware cost breakdown for approval before purchasing. Which city and country should the device be shipped to, and do you already have sample dispatch recordings or RSS entries for testing? I’d be glad to review the specification and discuss the most reliable implementation.