Technologies

Smart Camera

  • Frameworks: OpenCV, Scikit-image, Pillow, Tensorflow, Keras, Pytorch

  • Model Types: Object Detection, Image Classification, Image Segmentation, Pose Estimation, Image Captioning, Style Transfer, Super Resolution

  • Edge AI: Tensorflow Lite, Pytorch Mobile, OpenVINO, NVIDIA Jetson, Edge Impulse, Caffe 2, MXNet

  • Cloud AI: AWS Rekognition, AWS, Kinesis, Azure Cognitive Service, GCP AutoML Vision

Deep Learning

  • Models: CNN, RNN, GAN, LSTM, Autoencoders, Transformers & Latent Analysis

  • Frameworks: Tensorflow, Keras, P

Math & Statstics ML

  • Supervised learning: Linear Regression, SVM, Decision Tree, Gradient Boosted, LDA, UMAP

  • Unsupervised learning: PCA, t-SNE, UMAP, KNN, k-means clustering, Hierarchical clustering

  • Reinforcement learning: Markov decision process, Q-Learning and Deep Q-Networks

  • Mel-Spectrograms, Sound waves processing, Fourier Transform, Dynamic Time Warping, Hubert

Sample Projects

Driver monitoring system

People detection

Truck monitoring

Slot management

Smart locker

AI Security Camera

OCR for medical devices

People counting