Sure thing, let’s break it down. First, stream the video feed into a buffer, then run a motion‑detect filter to find the best segments, crop them to 9:16, and overlay GPS/time stamps from the drone’s telemetry. Finally, push the clips straight to the Instagram API with the proper hashtags. I can write the core logic in Python or Swift—just say which platform.

```swift import AVFoundation import CoreLocation import UIKit class DroneStreamer: NSObject { var captureSession = AVCaptureSession() var videoOutput = AVCaptureVideoDataOutput() var locationManager = CLLocationManager() var lastLocation: CLLocation? override init() { super.init() setupCamera() setupLocation() } func setupCamera() { captureSession.sessionPreset = .hd1920x1080 guard let device = AVCaptureDevice.default(for: .video) else { return } guard let input = try? AVCaptureDeviceInput(device: device) else { return } captureSession.addInput(input) videoOutput.videoSettings = [kCVPixelBufferPixelFormatTypeKey as String: kCVPixelFormatType_32BGRA] videoOutput.setSampleBufferDelegate(self, queue: DispatchQueue(label: "videoQueue")) captureSession.addOutput(videoOutput) captureSession.startRunning() } func setupLocation() { locationManager.delegate = self locationManager.desiredAccuracy = kCLLocationAccuracyBest locationManager.requestWhenInUseAuthorization() locationManager.startUpdatingLocation() } func overlayGPS(on image: UIImage, at location: CLLocation) -> UIImage { let renderer = UIGraphicsImageRenderer(size: image.size) return renderer.image { ctx in image.draw(at: .zero) let text = "\(location.coordinate.latitude), \(location.coordinate.longitude)" let attrs: [NSAttributedString.Key: Any] = [ .font: UIFont.monospacedSystemFont(ofSize: 14, weight: .medium), .foregroundColor: UIColor.white, .backgroundColor: UIColor.black.withAlphaComponent(0.5) ] let attrString = NSAttributedString(string: text, attributes: attrs) let rect = CGRect(x: 10, y: image.size.height - 30, width: image.size.width - 20, height: 20) attrString.draw(in: rect) } } func processFrame(_ sampleBuffer: CMSampleBuffer) { guard let pixelBuffer = CMSampleBufferGetImageBuffer(sampleBuffer), let location = lastLocation else { return } let ciImage = CIImage(cvImageBuffer: pixelBuffer) let context = CIContext() guard let cgImage = context.createCGImage(ciImage, from: ciImage.extent) else { return } let uiImage = UIImage(cgImage: cgImage) // Auto‑crop to 9:16 let targetAspect: CGFloat = 9.0 / 16.0 let cropSize = CGSize(width: uiImage.size.width, height: uiImage.size.width / targetAspect) let cropRect = CGRect(x: 0, y: (uiImage.size.height - cropSize.height)/2, width: cropSize.width, height: cropSize.height) guard let croppedCG = cgImage.cropping(to: cropRect) else { return } let croppedImage = UIImage(cgImage: croppedCG) let finalImage = overlayGPS(on: croppedImage, at: location) // Now upload finalImage to Instagram via API or save locally } } extension DroneStreamer: AVCaptureVideoDataOutputSampleBufferDelegate { func captureOutput(_ output: AVCaptureOutput, didOutput sampleBuffer: CMSampleBuffer, from connection: AVCaptureConnection) { processFrame(sampleBuffer) } } extension DroneStreamer: CLLocationManagerDelegate { func locationManager(_ manager: CLLocationManager, didUpdateLocations locations: [CLLocation]) { lastLocation = locations.last } } ```

Got it, I’ll add a check for orientation and drop frames to keep the battery sane. Thanks for the heads‑up.

Will keep the frame rate in check, watch the battery, and ping you when the upload logic trips over the API. Happy hacking.

Will do, keep the camera rolling.

All set, keep the lenses spotless and the battery topped, and I’ll be ready for the next clip. Catch you there!