Turnkey Computer Vision & Edge AI Development

Real-Time Video Analytics & AI Pipelines

Develop low-latency object detection, classification, segmentation, and multi-object tracking pipelines optimized for edge hardware.

Embedded Camera & Sensor Integration

Integrate and calibrate MIPI CSI-2, USB3 Vision, GigE Vision, thermal/IR, and stereo camera sensors across custom embedded boards.

Model Optimization & Acceleration

Quantize, prune, and compile deep learning models using TensorRT, OpenVINO, and FPGA logic for high-FPS, low-power execution.

Classical Image Processing & Algorithmic Logic

Implement robust classical computer vision algorithms using OpenCV and CUDA for low-level image filtering, feature extraction, and geometric transformation.

We specialize in edge deployments targeting NVIDIA Jetson (Orin/Xavier), Xilinx Kria/Versal FPGAs, NXP i.MX8/i.MX9, and custom x86/ARM platforms with discrete GPUs.

We utilize a hybrid approach. We combine deep learning models (TensorRT, PyTorch) for perception with classical computer vision (OpenCV, CUDA) for precise deterministic calculations and pre-processing.

Yes. We engineer end-to-end hardware-accelerated pipelines using frameworks like NVIDIA DeepStream and custom GStreamer plugins to ensure zero-copy memory transfers between sensors, GPUs, and processing blocks.