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docs(cctv): document the Toronto pack and the shared camera cap
Adds the Toronto settings to .env.example and a current-state section for the pack, restores an approximate camera count in the README, and corrects the claim that adding a pack never trims another region: with the shared 4,000-camera cap, the largest packs give way round-robin. Fixes two stale comments about the list's refresh and the ground-height sidecar.
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Sameh Khamis committed
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@@ -226,6 +226,9 @@ AISSTREAM_API_KEY=
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# CCTV_NYC_ENABLED= # off by default; set 1 only if you hold a NYC DOT data-sharing agreement ([email protected]) for the camera feed
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# CCTV_NYC_MAX_SOURCES=250 # cap cameras loaded from the NYC TMC catalog (nearest borough cores first)
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# CCTV_NYC_CAMERAS_URL= # override the NYC TMC catalog URL
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# CCTV_TORONTO_ENABLED=1 # set 0 to disable the City of Toronto RESCU cameras
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# CCTV_TORONTO_MAX_SOURCES=336 # cap cameras loaded from Toronto RESCU (clamped to 8–500)
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# CCTV_TORONTO_LIST_URL= # override the Toronto RESCU camera list URL
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# CCTV_MAX_SOURCES=4000 # catalog-wide ceiling, shared round-robin across packs
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# CCTV_PREFER_AUSTIN=1 # prioritize Austin cameras in the registry
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# CCTV_FORCE_AUSTIN= # force live default sources when a source-pack JSON is configured
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@@ -377,7 +377,7 @@ Twenty layers and map sources. **Eighteen have a keyless path.** Some offer addi
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| 🌍 **Earthquakes** | Global seismic activity, last 24h | USGS | 🟢 |
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| ◍ **Air quality** | Live AQHI on the published 1–10+ health-risk scale, with a Weather-panel card showing the band legend and the highest readings in view. **Canada only** — ECCC is the first registered provider | ECCC MSC GeoMet | 🟢 |
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| 🚗 **Traffic** | Simulated vehicles on OSM roads. With TomTom, live flow speeds drive the simulation and congestion colors below ~8 km; individual vehicle positions are not live observations | TomTom + OSM | 🟢 simulation · 🟡 live flow speeds |
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| 📹 **CCTV Mesh** | Public cameras projected _into_ the 3D space — Austin · Texas (TxDOT) · California (Caltrans) · London (TfL) · Ontario (511) · Finland (Fintraffic) · British Columbia (DriveBC) · Estonia (Tallinn, Tarktee) · Delaware (DelDOT live video) · New South Wales (Live Traffic NSW) · Calgary · Norway (Statens vegvesen) · Toronto, plus opt-in New York City (NYC DOT TMC, needs your own NYC DOT agreement). Positions are published; poses are estimated priors **you calibrate by dragging a gizmo on the camera itself** | City APIs | 🟢 |
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| 📹 **CCTV Mesh** | ~4,000 public cameras (shared cap) projected _into_ the 3D space — Austin · Texas (TxDOT) · California (Caltrans) · London (TfL) · Ontario (511) · Finland (Fintraffic) · British Columbia (DriveBC) · Estonia (Tallinn, Tarktee) · Delaware (DelDOT live video) · New South Wales (Live Traffic NSW) · Calgary · Norway (Statens vegvesen) · Toronto, plus opt-in New York City (NYC DOT TMC, needs your own NYC DOT agreement). Positions are published; poses are estimated priors **you calibrate by dragging a gizmo on the camera itself** | City APIs | 🟢 |
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| 📷 **Mapped ALPR Cameras** | License-plate-reader camera locations tagged by OpenStreetMap contributors, loaded one city-sized view at a time, with **SHOW NEAREST**. Locations and tags only: no plate data, no video | OpenStreetMap (incl. DeFlock mapping) | 🟢 |
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| 📷 **Street Level** | Street-level photos behind one panel, one chip per provider: coverage on the streets, image cones, an embedded viewer and **FOLLOW**. Mapillary, Google Street View, KartaView and Panoramax | Mapillary · Google · KartaView · Panoramax | 🟢 KartaView, Panoramax · 🟡 Mapillary token · 🔴 Google Maps key |
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| 📻 **Radio** | Geolocated world radio with an **analog tuner** — drag the needle across up to 750 stations and the globe flies to each broadcaster | Radio Browser / broadcasters | 🟢 |
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@@ -977,7 +977,25 @@ id-hash fallback at low confidence.
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Once enabled, the 250 cameras nearest the five borough cores load.
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`CCTV_NYC_MAX_SOURCES` sets the pack cap (8–400). The catalog-wide ceiling stays at 4,000 and is shared
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round-robin, so adding this pack does not silently drop another region.
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round-robin: no region is dropped outright, but when the packs together exceed
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the ceiling, adding a pack trims cameras from the largest packs.
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## City of Toronto RESCU CCTV source pack
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The CCTV catalog adds the City of Toronto RESCU traffic cameras — downtown
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arterials plus the Gardiner, DVP, Allen and Lake Shore, which the Ontario 511
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pack does not cover. The server reads the keyless camera list the City
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publishes on its open data portal (`tmcearthcameras.json`, served as JSONP).
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The list has no URL field: frame URLs are built from each validated, digits-only
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camera number on the fixed origin
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`https://opendata.toronto.ca/transportation/tmc/rescucameraimages/CameraImages/`.
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The feed has no compass data, so headings are low-confidence priors. Some
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cameras return a 200 "Image Unavailable" placeholder frame instead of an error.
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By default all ~336 cameras load, nearest downtown first.
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`CCTV_TORONTO_MAX_SOURCES` sets the pack cap (8–500) and
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`CCTV_TORONTO_ENABLED=0` turns the pack off. The pack shares the 4,000
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catalog-wide ceiling round-robin with the other packs.
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## DriveBC CCTV source pack
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@@ -309,7 +309,8 @@ export const DELDOT_ANCHORS = [
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* City of Toronto RESCU traffic cameras: the municipal network the province's
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* 511 pack does not cover — downtown arterials plus the Gardiner, DVP, Allen
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* and Lake Shore. One keyless list for the whole city (~336 cameras), from the
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* City's open data portal, refreshed within two minutes of any change.
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* City's open data portal. It is fetched on every catalog refresh, but the
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* upstream file is not updated often and may lag the live camera network.
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*
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* The list is served as JSONP (`jsonTMCEarthCamerasCallback({...})`); the
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* portal publishes the same data as .xml and .csv beside it.
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@@ -329,10 +330,10 @@ export const DEFAULT_TORONTO_MAX_SOURCES = 336;
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/** Yonge / Queen: the prioritization anchor. */
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export const TORONTO_DOWNTOWN = { lat: 43.6532, lon: -79.3832 };
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/** The city climbs from 76 m at the lake to 209 m at Steeles, so no single
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* number fits: this is the mean across the 336 camera sites. Placement comes
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* from the precomputed ground-height sidecar wherever a camera has an entry;
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* this prior is only the fallback for a sidecar miss or an edited pose, and
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* the client's ground snap corrects it wherever 3D tiles are loaded. */
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* number fits: this is the mean across the 336 camera sites. The ground-height
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* sidecar has no Toronto entries yet, so this prior seeds placement; a camera
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* that gains a sidecar entry uses it instead, and the client's ground snap
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* corrects the prior wherever 3D tiles are loaded. */
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export const TORONTO_GROUND_ELEVATION_M = 116;
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/** Hard ceiling on the RESCU list body. The whole city is ~336 rows and under
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* 60 KB; this only exists so an upstream that streams an unbounded body cannot
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