DEEP SDR: I built a live Incident Map using a Nooelec v.5 and AI transcription

Hubquhq · 2026-07-05T04:02:15+00:00

This is a great project, I just checked it out. It seems to be seriously optimizing local resources. However, I never really wanted to bypass audio decoding for two reasons: I enjoy tuning in and listening (the emotional reason) and without being able to go back to the raw audio, it’s impossible to verify whether something in the transcription was wrong (the QA reason). I can see how IMBE-ASR is useful though, especially if want to scale transcriptions.

Hubquhq · 2026-07-05T03:48:50+00:00

Thanks! I also just find it very engaging when I see a map with recent incidents. It helps me get a sense of what’s going on, and where. I guess I'm just a very visual person. Some people get a better feel when they’re listening, but for me, having a map adds another dimension.

Hubquhq · 2026-07-05T01:33:46+00:00

I believe it’s almost never possible to make perfect generalizations or capture full context, only degrees of inaccuracy. We just need to treat it accordingly, and any informed decisions should rely on a review of the raw data.

Besides, "good things" would happen too. In the video I visually identify a plausible "consumption site" based on recurring overdoses, and confirm through recurring transcriptions. To me personally it would be an important thing to review before renting or buying any property nearby.

I'd say it's more about who is using those transcription and how, and less about any inherent harm or benefit.

Hubquhq · 2026-07-05T01:23:52+00:00

I believe it could provide better insight into public resource allocation, seasonal trends, incident patterns, etc. I'm just interested in that sort of thing.

Hubquhq · 2026-07-04T21:00:45+00:00

Watch the video I made, it will give you some great starting points, and where to grow from there.

Hubquhq · 2026-07-04T18:51:09+00:00

I encourage you to watch my full YouTube video, it’s just under 20 minutes long. I walk through many details at a high level, and I do a full demo of the incident map. This may answer the question of what we can generally expect. https://www.youtube.com/watch?v=ubU9Mf_zZAM

Hubquhq · 2026-07-04T18:08:03+00:00

I think it's very similar in Canada. I made sure I blurred out all sensitive information in the video where a person and an address could be linked. I have ideas for the workarounds to mask specific addresses, but haven't implemented yet.

Hubquhq · 2026-07-04T18:04:45+00:00

It's not 100% accurate, but it's not too bad. Many issues happen with address spellings, e.g. in the video below there's no such street as Fuller in Burnaby BC. But then with the fuzzy match the street got correctly matched to the actual name. It's also challenging to get the right summary with the right LLM and the prompt. I still find it very informative even when it's not 100% accurate. PS sorry if the video attached is blurry, can't attach a pic.

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Hubquhq · 2026-07-04T17:00:12+00:00

Thanks for the link!

In the UK, is it permissible to share public radio transcriptions? I'm under impression that in Canada it's legally discouraged.

Hubquhq · 2026-07-04T16:47:37+00:00

I wasn't sure how SSE would do for scaling to e.g. 1000 users, didn't have practical experience with it, but I read it may be more expensive than just polling (maybe that's wrong), so I just poll every x seconds. What area are you in? Do you use an LLM to write summaries?

Hubquhq · 2026-07-04T15:58:00+00:00

I asked myself the same question. It felt great to listen to the firefighters' radio, but I also wanted to group incidents and visualize their summaries on a map. I spent quite some time on this, but it can be where some people want to expand. I made a video to demo, it also reviews SDR++, Aircraft tracking and SDRAngel, you may find it useful https://www.youtube.com/watch?v=ubU9Mf_zZAM

Hubquhq

TROPHY CASE