rooomScan vs Object Detection Cam

Want to capture images in more than 2 dimensions? With the rooomScan 3D Scan app, your smartphone or tablet becomes a full-fledged 3D scanner that lets you take photos and convert them into 3D models. Experience how you can create an impressive 3D model within minutes, which you can freely view from all sides. All you need is this free app. Turn your mobile device into a 3D tool for: - Very easy creation of 3D models from photos - Guided scanning of objects for 3D model creation - Creation of augmented reality content - Viewing 3D models - Create 3D models for embedding on websites - Create 3D content to share via social media or email How does the 3D Scan app work? By moving your smartphone or tablet around your object, you allow the scan app to cap-ture it from every possible perspective. Don't worry, the app will guide you through the process step by step. Once you're satisfied with the resulting photos, you give them an object name, such as "green chair," and click to upload them to the rooom system. After just a few minutes, a finished 3D model of your object has been created from your photos and is waiting for you in the app. Now you can freely rotate the 3D model, zoom in and out, and take it digitally with you wherever you go. What do you have to watch out for when scanning? Objects with transparent or reflective surfaces are not suitable for scanning. Also, objects smaller than 3 cm cannot be scanned properly by your mobile device as a 3D scanner. The maximum scanning distance should not exceed 5 meters.

Object Detection Cam enables you to detect objects in real time using your iPhone or iPad with custom-trained machine learning models. The app includes a built-in model, YOLOv3Tiny.mlmodel, a lightweight neural network optimized for fast object detection across 80 object classes. Object Detection Cam Features: • Load and run custom machine learning models from the built-in library • Rename or delete models directly within the app • Capture photos and save them instantly to the Photos library • Enable sound alerts when an object is detected • Choose from different sound tones for object detection feedback • View all class labels supported by the active machine learning model Adding Custom Models: You can download pre-trained .mlmodel files and add them via AirDrop to the following directory in the Files app: [OD Cam] You may also train your own object detection models using tools such as CreateML or TensorFlow (conversion to .mlmodel required) Custom Model Tips: For instance, if you train a model to detect 5 dog breeds—Husky, Bulldog, Golden Retriever, German Shepherd, and Beagle—it will recognize these accurately. However, detecting a breed like Boxer (not in the model) may yield incorrect results (e.g., identified as Bulldog). To improve accuracy, include as many relevant object classes as possible during training. Usage Examples: • Detect plant species in a jungle environment • Identify dog breeds using a trained model • Detect various animal or insect species • Monitor item status (e.g., identify defective items) • And many more use cases—powered by your creativity Quick Start Guide: 1. AirDrop your .mlmodel file (e.g., DogBreedsModel.mlmodel) into the [OD Cam] folder in the Files app 2. Launch Object Detection Cam 3. Go to the Library tab and tap your custom model 4. The camera will now detect objects based on the model’s class labels 5. When an object is detected, a bounding box and label will appear on screen 6. Tap the shutter button to save a photo to your camera roll [＊] Ensure your model is specifically trained for object detection (not image classification or other model types) What is Object Detection? Object detection uses machine learning or deep learning algorithms to identify and locate objects within images or video. While image classification assigns a label to an entire image, object detection involves localizing one or more objects with bounding boxes and assigning them class labels. Thanks for your support! Visit nitrio.com for more iOS tools and creative apps. Thanks for your support and do visit nitrio.com for more apps for your iOS devices.