Lens Parameters

A Lens is a software interface that allows developers to configure and interact with Newton. Lenses define how sensor data flows in and out of Newton and specify how Newton should interpret that data for a given use case.

Parameter Categories

Lens parameters fall into two categories:

Basic Parameters control core behavior like analysis focus, timing, and output format. These are the primary settings you’ll adjust for your use case.
Advanced Parameters fine-tune performance characteristics like buffering, model replicas, and token limits. Default values work well for most applications.

Activity Monitor Lens

The Activity Monitor Lens analyzes camera data to identify activities, movements, or events within a scene. It detects human and object behaviors for applications like workflow monitoring, interaction tracking, and space usage analysis.

Basic Parameters

Parameter	Description	Default	Notes
instruction	Defines the lens’s role, objective, and output format	Answer the following question about the video:	Include role context, target behaviors, and response formatting
focus	Steers what the model prioritizes in the sensor stream	Describe the video.	Narrow analysis to specific behaviors or conditions without retraining
temporal_focus	Controls how video frames are sampled over time	`5`	Temporal focus is defined as an integer in the number of seconds” This means over 5 seconds, 5 samples 5 frames are analyzed; higher values distribute frames across longer windows

Instruction Format

Structure your instruction with these components:

[ROLE] You are a smart camera monitoring a conveyor belt in a manufacturing facility.
[OBJECTIVE] Detect complete work stoppages that require human intervention.
[OUTPUT FORMAT] ALERT: [reason in 5-7 words].

Advanced Parameters

Parameter	Description	Default	Notes
camera_buffer_size	Number of frames kept in buffer before processing	5	Buffer size of 5 means model sees 5 frames per inference
camera_buffer_step_size	Step size for frame sampling	5	Step of 5 frames means next window starts 5 frames later
memory_prompt_buffer_size	Previous lens responses kept in prompt history	`0`	Keep default for best results
max_new_tokens	Maximum tokens generated during inference	512	Keep default for best results
min_replicas	Minimum model replicas maintained	1	Keep default for best results
max_replicas	Maximum model replicas allowed	1	Keep default for best results

Activity Monitor Lens

Full documentation and configuration examples for the Activity Monitor Lens

Machine State Lens

The Machine State Lens classifies operational states of machines using sensor measurements. It distinguishes between normal operation, stressed conditions, and anomaly or failure modes like overheating, mechanical wear, or misalignment. The lens supports one-shot and few-shot classification, allowing adaptation to new machines without retraining.

Basic Parameters

Parameter	Description	Default	Notes
input_n_shot	Labeled CSV examples for each machine state	—	At least one example required per state; format must match incoming data
window_size	Number of rows analyzed together	`1024`	Smaller values (256) give more frequent predictions; larger values (2048) provide more context
step_size	Rows to advance between predictions	`1024`	Controls prediction frequency

CSV Configuration Parameters

Parameter	Description	Notes
timestamp_column	Column containing time information	Used to order and label predictions
data_columns	Sensor columns to analyze	Update to match your CSV structure; maximum 4 variates supported

Advanced Parameters

Parameter	Description	Default	Notes
buffer_size	Time points kept in buffer per variate	`1024`	—
min_replicas	Minimum model replicas maintained	1	Keep default for best results
max_replicas	Maximum model replicas allowed	1	Keep default for best results

KNN Configuration Parameters

Parameter	Description	Default
n_neighbors	Number of neighbors for classification	`5`
metric	Distance metric	`manhattan`
weights	Weight function	`distance`
algorithm	Algorithm for neighbor computation	`ball_tree`
normalize_embeddings	Whether to normalize embeddings	`false`

Machine State Lens

Full documentation and configuration examples for the Machine State Lens

Developer Quickstart

Get started with your first lens

Lenses Overview

Understanding how lenses work

Code Examples

Working examples for hands-on learning

Workbench

Configure lenses in a no-code environment

Introduction

Core Concepts

Developer Console

Libraries

Examples

Help & Support

Archive

Parameter Categories

Activity Monitor Lens

Basic Parameters

Instruction Format

Advanced Parameters

Activity Monitor Lens

Machine State Lens

Basic Parameters

CSV Configuration Parameters

Advanced Parameters

KNN Configuration Parameters

Machine State Lens

Developer Quickstart

Lenses Overview

Code Examples

Workbench

​Parameter Categories

​Activity Monitor Lens

​Basic Parameters

​Instruction Format

​Advanced Parameters

Activity Monitor Lens

​Machine State Lens

​Basic Parameters

​CSV Configuration Parameters

​Advanced Parameters

​KNN Configuration Parameters

Machine State Lens

​Related Resources

Developer Quickstart

Lenses Overview

Code Examples

Workbench

Parameter Categories

Activity Monitor Lens

Basic Parameters

Instruction Format

Advanced Parameters

Machine State Lens

Basic Parameters

CSV Configuration Parameters

Advanced Parameters

KNN Configuration Parameters

Related Resources