Smart Perception with AI/ML

Empower your systems with AI/ML-based perception to automate sensing, enhance decision-making, and unlock real-time intelligence.

Overview
Why Choose Netwoven

Building Perception Systems That Power the Future

Perception systems are a core component of intelligent machines, especially in fields like robotics, autonomous vehicles, drones, and industrial automation. These systems enable machines to sense, interpret, and understand their environment, often using data from cameras, LiDAR, radar, ultrasonic sensors, and more. They are the eyes and ears of intelligent machines.

A perception system typically includes:

Sensors: Cameras, LiDAR, radar, IMUs, etc.
Sensor Fusion: Combining data from multiple sensors to create a coherent understanding of the environment.
Computer Vision & AI: Algorithms that detect, classify, and track objects (e.g., pedestrians, vehicles, obstacles).
Localization & Mapping: Determining the machine’s position and building a map of the surroundings (e.g., SLAM).
Scene Understanding: Interpreting the context - like road conditions, traffic signs, or human gestures.

Developing robust perception systems is extremely complex and requires deep interdisciplinary expertise.

Organizations need experts in the following areas:

Sensor Complexity

Experts must understand the physics and limitations of each sensor.
Calibration, synchronization, and noise filtering are non-trivial tasks.

Real-Time Processing

Perception must happen in milliseconds.
Requires optimization for latency, throughput, and power efficiency.

AI & Machine Learning

Training models to detect and classify objects accurately in diverse environments.
Requires expertise in deep learning, data labeling, and model evaluation.

Edge Deployment

Models must run on embedded systems with limited compute.
Experts optimize for hardware like NVIDIA Jetson, Qualcomm chips, or custom ASICs.

Safety & Redundancy

In safety-critical applications (e.g., autonomous driving), perception must be fail-safe.
Requires rigorous testing, simulation, and validation.

Domain-Specific Challenges

Urban vs. rural driving, indoor vs. outdoor robotics, weather conditions - all require tailored solutions.

Netwoven specializes in crafting cutting-edge perception solutions that enable machines to understand, interpret, and interact with the world around them.

We work with the following industries to build perception systems:

Autonomous Vehicles (Tesla, Waymo, Cruise)
Robotics (Boston Dynamics, Amazon Robotics)
Drones (DJI, Skydio)
Manufacturing & Logistics (ABB, Siemens)
Healthcare (surgical robots, diagnostic imaging)

We build intelligent perception systems using a powerful stack of technologies that include:

AI & Machine Learning

TensorFlow, PyTorch, ONNX for deep learning model development
YOLOv8, Detectron2, MMDetection for object detection and segmentation
OpenCV, MediaPipe for image and video processing

Sensor Fusion & Robotics

ROS2, RTI Connext DDS for real-time robotics middleware
Kalman Filters, Bayesian Networks for multi-sensor data fusion
Integration with LiDAR (Velodyne, Ouster), Radar, and RGB-D cameras

Edge & Embedded Systems

NVIDIA Jetson, Intel OpenVINO, Qualcomm Snapdragon for edge AI deployment
GStreamer, TensorRT, CUDA for real-time inference optimization

Cloud & DevOps

Azure Percept
Docker, Kubernetes, CI/CD pipelines for agile development and deployment

Let’s connect if you’re exploring:

AI-powered automation
Real-time decision-making systems
Scalable perception infrastructure

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Why Choose Netwoven

Netwoven combines deep AI/ML expertise with real-world industry experience to deliver custom perception systems that are scalable, cloud-ready, and built for impact. From design to deployment, we ensure fast, reliable, and responsible AI solutions tailored to your business needs.