Doubling down on Bee Edge AI. We kept hearing from customers things like... “Capture more imagery when X happens.” “Map these roads, detect this custom object.” “Upload video only when Y triggers.” That list never ends, and we’re not going to ship a thousand one-off features. So we made the Bee programmable: a deployable edge vision computer where you run your own modules (C++ or Python), trigger on events, target by geography, and control exactly what gets captured and uploaded. That’s the product. Let's dive into what you get: 🧑‍💻C++ or Python modules: pick low-latency performance or fast iteration. 📸 Vision primitives: run your own detector/classifier or tap into native Map AI outputs.Full sensor access: 12.3MP frames, stereo depth, and 2K video streams for clips or continuous capture. 🚙 Vehicle + driver signals: GNSS + IMU, plus built-in events (braking, swerving, acceleration) or your own logic. 💻 Real-time on-device inference: ~5.1 TOPS, works offline, uploads later when bandwidth exists. 📱Connectivity as a service: structured outputs stream to your Bee Maps developer account over LTE/WiFi; you set policy. 🛠️ Platform: OTA rollouts, health/throughput/error metrics, geo targeting What people ship with it * Change detection: upload only what changed—new/removed/updated assets. * Custom edge detections: business names, utility gear, gates/access points with derived metadata. * Driver-event capture: “ran a red light”, “too fast into turn + hard brake” → structured record + short clip/frames/depth. * Precision imagery pipelines: every N meters, event-gated full-res stills, depth-backed measurement, intersection clips. ...