Cognitive Intelligence
Technical
Discuss Your Project
Neural Assets
Computer Vision.
Production computer vision systems for object detection, tracking, and analysis optimized for edge deployment.
OpenCVYOLODepth AINVIDIA
System Ready
Technical
Capabilities.
Object detection with YOLOv8, DETR, and customized architectures
Semantic segmentation for medical imaging and autonomous navigation
Real-time multi-object tracking with DeepSORT and ByteTrack
Depth estimation with stereo cameras and LiDAR fusion
GPU-accelerated inference with NVIDIA TensorRT and CUDA
Camera calibration and image signal processing pipeline optimization
Real-Time Perception
From autonomous robots to smart security cameras, our computer vision solutions leverage hardware acceleration for minimal latency.
- OpenCV and custom CUDA kernel optimization
- Deep learning based object detection (YOLO, EfficientDet)
- Multi-camera synchronization and calibration
Core Focus
OpenCV, YOLO, Depth AI — delivering measurable impact through deep technical expertise.
Engagement Model
From discrete consulting engagements to full turnkey delivery, we adapt to your program's specific needs and timeline.
Deep Tech FAQ
What frame rates can you achieve for real-time object detection?+
On NVIDIA Jetson platforms, we achieve 60+ FPS for YOLOv8 inference at 1080p resolution, using TensorRT optimization and INT8 quantization.
Do you support thermal and hyperspectral imaging?+
Yes. We develop computer vision models for thermal, multispectral, and hyperspectral sensors, with custom preprocessing pipelines for non-visible spectrum data.
ChipTalk.AI Advantage
ChipTalk's computer vision engineers have deployed production vision systems spanning autonomous navigation, medical imaging, industrial inspection, and security surveillance. We optimize for both accuracy and inference latency, leveraging TensorRT, OpenVINO, and custom CUDA kernels on edge hardware.
Related Engagements
01
Automated PCB AOI System
Developed a YOLOv8-based automated optical inspection system for PCB assembly lines, detecting 12 defect classes with 99.3% mAP at 80 FPS on an NVIDIA Orin NX.
02
Surgical Instrument Tracking System
Built a multi-camera surgical instrument tracking system using depth-aware instance segmentation, achieving 2 mm positional accuracy in an operating room environment.
We optimize for the inference hardware, not just the metric. Our vision pipelines are benchmarked on your target platform from day one, with model architecture choices driven by FPS and power budgets—not just accuracy scores on a validation set.
Relevant Tags:OpenCVYOLODepth AINVIDIA