Live video analysis and monitoring systems
Detects and tracks objects across multiple camera streams with minimal latency using YOLO26-based pipelines in Keylabs.
Optimize for speedReal-time object detection & tracking models
High-speed object detection and tracking across images and live video streams.
YOLO26 – real-time detection & tracking-ready vision model
YOLO26 detects and localizes objects in images and video streams at high speed and accuracy, so it fits real-time computer-vision pipelines.
// Why YOLO26 at Keylabs- Real-time detection: Processes live video feeds and images with low latency, identifying multiple object classes frame-by-frame.
- Tracking-ready output: Produces stable bounding boxes and class predictions that can be directly integrated with tracking algorithms like ByteTrack or DeepSORT for continuous object tracking.
- Scalable vision pipelines: Built for high-throughput environments such as surveillance, robotics, and autonomous systems, where fast inference is critical.
Choose your path
Pick the detection-and-tracking path that fits your project.
Robotics, drones, and self-driving applications
Enable fast perception layers that identify and localize objects in dynamic environments for decision-making in real time.
Power autonomyFactory and logistics monitoring
Track goods, vehicles, and personnel across production lines and warehouses for operational visibility and safety compliance.
Scale operationsAI dataset creation and annotation workflows
Pre-annotate large datasets with YOLO26 predictions to accelerate labeling and reduce manual effort in Keylabs.
Accelerate labelingReady to power real-time detection and tracking pipelines?
Talk to our computer-vision team to get started.
Custom solution? hello@keylabs.ai
