Key Specs
- Resolution
- Frame Rate
- Optical Format
- 1,280-pixel spatial resolution enabling a wider FoV and higher inspection throughput
- Industry-leading scan speeds up to 2,300 fps at full spectral range
- Minimal correction algorithm dependence for high signal integrity
High Throughput SWIR Hyperspectral Camera
Kaleido provides up to 1,280 x 256 pixel resolution with readout rates exceeding 2.3 kHz, enabling more material to be inspected in less time without compromising spectral performance. This helps reduce overall system throughput cost while improving classification accuracy in high‑speed production environments.
Optimized sensor responsivity delivers strong signal levels even in low‑light conditions, reducing illumination requirements and enabling effective use of modern SWIR LED lighting.


Simplified Setup and Reliable Spectral Performance
Kaleido is delivered fully calibrated and ready to use, with a lens included and options available to support different fields of view and working distances. It also incorporates features designed to reduce system complexity and accelerate deployment:
- Programmable spectral band selection
- Programmable spatial zone(s) selection
- Spectrograph‑based aberration correction
- Consistent spectral calibration across units for the full operating temperature range
These capabilities improve repeatability between systems and support faster time to market for machine builders and system integrators.
Efficient Data Delivery and Integration
The camera incorporates proven functionality from Teledyne DALSA’s award‑winning camera families, including:
- Frame and multi-frame triggers
- Meta‑data support
- 10 GigE Vision standard interface
These features ensure that only the required data is delivered to the processing engine, reducing system load and improving overall efficiency.
Kaleido employs the ENVI hyperspectral file format using a 10 GigE interface fully compliant with GenICam® standards, enabling straightforward integration into existing machine vision and hyperspectral inspection platforms.


Scalable Solutions
Kaleido is supported by Teledyne DALSA’s established partner network, providing system‑level expertise for evaluation, deployment, and scalable hyperspectral inspection solutions.
Ideal for Inspection and Sorting Applications
Specifications
Highlighted
- Número de pieza
- KL-GS-12H03H-00-L25
- Resolución
- 1,280 x 256
- Megapíxeles
- 0.327
- Velocidad máxima de línea
- 2.3 kHz
- Modelo de sensor
- Teledyne DALSA
- Tamaño de píxel
- 14
- Tipo de sensor
- InGaAs
- Espectro
- SWIR
- Soporte de lente
- M42x1 (lens included)
- Sincronización
- Free-running, external trigger
- Interfaz de datos
- 10 GigEVision
- Protección
- IP54
Características
- Conjuntos de usuarios
- N/A
- Memoria flash
- 256 MB
- Modos de adquisición
- Synchronous
- Modos de imagen parcial
- ROI, multi ROI, spectral and digital bining
- Procesamiento de imágenes
- Flat-field correction, defective pixel correction, linearity correction
Rendimiento
- Capacidad de saturación (e-)
- 120 ke
- Longitud de onda máxima
- 1,750
- Rango dinámico dB
- 61
- Ruido oscuro temporal (ruido de lectura)
- 120 e-
Físicas
- Conector
- M12 to RJ45 Ethernet
- Consumo de energía [máximo]
- 22 W
- Dimensiones (An. × Al. × L.)
- 100 x 120 x 184 mm
- Humedad de almacenamiento
- 15 to 85% (no condensation)
- Humedad operativa
- 15 to 85% (no condensation)
- Masa
- 2.3 kg
- Profundidad de bits de digitalización (ADC)
- 12-bit, 12-bit packed
- Requisitos de alimentación
- 24 V via GPIO connector
- Temperatura de almacenamiento
- -20 C to 60 C
- Temperatura operativa
- 5-45 C ambient
Configuración del sistema recomendada
- Accesorios necesarios
- Cable, 10 GigE NIC or Xtium XGV frame grabber
- Equipo de fuente de alimentación
- External camera power supply
- Puerto
- M12 Ethernet (10 Gbps)
Cumplimiento y certificaciones
- Conformidad
- CE, FCC, RoHS. The ECCN for this product is: 6A002.a.3.c
- Estándar Machine Vision
- GigE Vision™ v1.2, Onvif™ v1.01, http, rtsp, udp, SMPTE 292M, SMPTE 424M
Resources & Support
Kaleido SWIR datasheet
