See the hazard before the photo is filed.
Kickplate is a camera-first safety-walk app for plant supervisors and EHS leads in manufacturing and heavy industry. A supervisor walks a fixed route, taps a station tag to bind the capture to the machine they are standing at, and works a structured checklist while an on-device vision model reads the live viewfinder and flags missing PPE, blocked egress and exposed guards before the shutter is ever pressed. Anything it finds becomes a severity-rated incident that is assigned, due-dated and tracked to close-out — all of it working on a plant floor with no signal.
A BuildspaceLabs reference build. We designed Kickplate in-house to show how we approach native mobile — it is not a client engagement, and every name, record and figure inside these screens is fictional demo data.
Kickplate is designed twice — once in the iOS idiom and once in Material 3 — on top of a shared domain core, rather than one layout wrapped twice for both stores. The frameworks below are the stack each side is specced against.
3 surfaces from the build — 2 in the iOS idiom and 1 redesigned in Material 3 on Android. Everything inside the frames is fictional demo data.
The supervisor's home screen mid-walk: sticky offline strip (12 items queued, last sync 09:12), a 45% progress ring at 5 of 11 stations cleared, the critical blocked-egress banner for ST-05, a three-up stat strip, and the station list from ST-04 to ST-08 with a leading swipe revealing "Skip w/ reason". A persistent circular scan-tag action sits above the tab bar.
The full-bleed viewfinder with three live detections drawn on the frame (missing face shield 0.94, blocked egress 0.88, hearing protection OK 0.97), the on-device latency chip, the glove/blur control rail, the station checklist sheet at 4 of 9 checks with both fails traced back to a detection, and the post-capture confirm bar that turns two hazards into a Critical incident assigned to R. Naik, due 11:45.
The same route screen and the same demo data rebuilt in Jetpack Compose grammar: large top app bar, tonal offline banner, error-container critical card, elevated card with a segmented linear progress indicator, filter chips, M3 list items with swipe-to-dismiss, extended FAB, snackbar and navigation bar with the pill active indicator. Dynamic colour is deliberately disabled so the hi-vis warning hues are never re-tinted by a user's wallpaper.
The case for building this twice rather than wrapping a web app. Each one is designed around an operating-system capability a browser either cannot reach or cannot be trusted to hold.
An INT8-quantised 8-class detector targets ~30 fps against the camera stream via AVFoundation + Core ML on the Apple Neural Engine and CameraX ImageAnalysis + TFLite with the NNAPI/GPU delegate on Android. Frames are scored and dropped in memory. A browser cannot reach the preview buffer at that frame rate, and shipping frames to a server would break both the latency budget and the promise that no footage leaves the phone.
Core NFC background tag reading (and CameraX/ML Kit QR decode as the fallback) binds every capture to the physical tag bolted to the machine guard, so a check cannot be filed against the wrong press line. There is no web API for background NFC on iOS.
Encrypted SQLite — GRDB on iOS, Room on Android — behind a durable outbox with last-writer-wins plus vector-clock merge. A five-day shift pattern in a no-signal steel bay reconciles cleanly on the first uplink; media queues as HEIC/HEVC with resumable multipart upload. Browser storage quotas and eviction rules make this unshippable on the web.
Mic-derived dB(A) spot readings, ambient lux to auto-drive the torch, barometer and pedometer to show the walk was physical rather than desk-filled, and fused GPS with indoor dead-reckoning where satellites do not reach.
Physical volume-button shutter, Core Haptics / HapticFeedbackConstants confirmation patterns, oversized 64pt targets in glove mode, and a screen-brightness boost for 60,000-lux daylight at the loading-bay doors.
On-device face blurring before write, Secure Enclave / Android Keystore encryption at rest, EXIF scrubbed down to the station-bound geofence, and APNs/FCM plus BGTaskScheduler/WorkManager for assignment push and opportunistic background sync.
The target architecture this build is specced against, chosen per constraint rather than per habit — the stack shifts with the problem.
Kickplate is a reference build, so there is nothing to buy on this page. If your team has a problem that needs this kind of depth — offline for a full shift, real sensors, work that has to happen with the screen off — tell us about it and we will tell you honestly whether we are the right people to build it.