Tech

Chameleon

Chameleon: Ultra-compact, Low-power, High-performance Edge Platform for On-Device Multimodal AI

Sensor

Chameleon provides robust sensor fusion capabilities, significantly enhancing the detection performance of AI systems.

Software

Chameleon delivers robust real-time computing through heterogeneous core architectures, optimized device porting, and advanced network slimming technologies.

Hardware

Our ultra-compact, ultra-low-power hardware with Embedded Linux and ROS middleware delivers optimized perception and efficient edge computing capabilities.

Tech

Chameleon

Chameleon: Ultra-compact, Low-power, High-performance Edge Platform 

for On-Device Multimodal AI

Sensor

Chameleon provides robust sensor fusion capabilities, significantly enhancing the detection performance of AI systems.


Software

Chameleon delivers robust real-time computing through heterogeneous core architectures, optimized device porting, and advanced network slimming technologies.


Hardware

Our ultra-compact, ultra-low-power hardware with Embedded Linux and ROS middleware delivers optimized perception and efficient edge computing capabilities.

AI Solutions Designed to Fit Any Scenario

Main Sensor Options - RGB Camera, LWIR Camera, MIC, LiDAR, Ultrasonic Camera, TVOC Sensor

RGB+MICEquipment Failure Detection

RGB+LWIRFlood Detection

RGB+LWIR

Anomalous Heat Source Detection

RGB+초음파카메라

Pipe Leakage and Electrical Fault Detection

Optimal combinations of sensors provide the best solutions for a variety of situations.

AI Solutions Designed to Fit Any Scenario

Main Sensor Options - RGB Camera, LWIR Camera, MIC, LiDAR, Ultrasonic Camera, TVOC Sensor

RGB+MIC

Equipment Failure Detection


RGB+LWIR

Flood Detection


RGB+LWIR

Anomalous Heat Source Detection


RGB+초음파카메라

Pipe Leakage and Electrical 

Fault Detection

Optimal combinations of sensors provide the best solutions 

for a variety of situations.

Chameleon keeps evolving.

Spec

Chameleon 7
Chameleon 7 Lite
Chameleon 8

Chameleon 7 (QCS605)

Released in 2021.

CPU

64bit 8 Core Qualcomm®Kryo™

300 - 10nm LPE

2 x Gold @ 2.5 GHz

6 x Silver @ 1.7 GHz

GPU

Qualcomm® Adreno™ GPU 615@780MHz

DSP

Hexagon 685 DSP with dual Hexagon Vector eXtensions (HVX)

Memory

LPDDR4x 4GB + eMMC 64GB

Connectivity

WLAN : Wi-Fi 4, Wi-Fi 5 (802.11ac) 2x2

BT : Bluetooth 5.1

Camera

Spectra270 Dual ISP; 2x 16MP, 1x 32MP

4K 60fps video (HEVC enc/dec)

Dimension

42mm x 35mm

OS Support

Android

Chameleon 7 Lite (QCS610)

Released in 2023.

CPU

64bit 8 Core Qualcomm® Kryo™

460 - 11nm LPP

2 x Gold @ 2.2GHz

6 x Silver @ 1.8GHz

GPU

Qualcomm® Adreno™ GPU 612@845MHz

DSP

Hexagon DSP with dual Hexagon Vector eXtensions (HVX), 1.1Ghz

Memory

LPDDR4x 4GB + eMMC 64GB

Connectivity

WLAN : Wi-Fi 4, Wi-Fi 5 (802.11ac) 1x1

BT : Bluetooth 5.0

Camera

Spectra250L Triple ISP; 16+16MP, 24MP@30fps

4K 30fps video (HEVC enc/dec)

Dimension

50mm x 38mm

OS Support

Linux Embedded

Chameleon 8 (QCS6490)

Scheduled for release in 2024.

CPU

64bit 8 Core Qualcomm® Kryo™

670 - 6nm

1 x Prime @ 2.7GHz

3 x Gold @ 2.4GHz

4 x Silver @ 1.9GHz

GPU

Qualcomm® Adreno™ GPU 643@812MHz

DSP

6th gen Qualcomm AI Engine

Compute Hexagon DSP with dual Hexagon Vector eXtensions (HVX), Hexagon Co-processor (Hexagon CP) 2.0, 4K Hexagon Matrix eXtensions (HMX), Hexagon Tensor Accelerator (HTA)

Memory

LPDDR4x 8GB + UFS2.2 128GB

Connectivity

WLAN : Wi-Fi 6 (802.11ax) and Wi-Fi 6E

BT : Bluetooth 5.2

Camera

Spectra570L Triple ISP; 3x22 MP@30fps,

36MP@30fps+22MP@30fps, 64MP@30fps

ZSL 4K 60fps decode / 4K 30fps encode

Dimension

TBD

OS Support

Linux Ubuntu


Tech

wNet

Advancing specialized Deep Neural Networks (DNNs) for targeted problem-solving.

Applying our custom neural model 

wNet in diverse projects.

Bottom-center-based precise location 

detection of road-moving objects

Detection of flood risk through river 

width calculation.

Belt conveyor anomaly diagnosis through abnormal sound detection.

Anomalous heat source detection through 

flame detection technology.

Proprietary large-scale dataset 

from field-proven projects.


Tech

Network Slimming

Edge performance is preserved through model quantization and pruning.

Quantization

Post-training quantization applied for DSP deployment.

Pruning

Maintained detection accuracy at 90.2% AP@0.5 after pruning (down from 90.8%), while more than doubling inference speed.



Headquartersㅣ4F, BK Tower, 28 Beopwon-ro 11-gil, Songpa-gu, Seoul (05836)

Pohang Branch Officeㅣ#303, Venture Building 5, Pohang Technopark, 394 Jigok-ro, Nam-gu, Pohang, Gyeongsangbuk-do, Seoul

TELㅣ(HQ) +82-2-409-0301   E-mailㅣwithrobot@withrobot.com



© 2024 WITHROBOT. All Rights Reserved.









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Chameleon keeps evolving.

Spec



Chameleon 7 (QCS605)

Released in 2021.

Chameleon 7 Lite (QCS610)

Released in 2023.

Chameleon 8 (QCS6490)

Scheduled for release in 2024.

CPU
64bit 8 Core Qualcomm®Kryo™
300 - 10nm LPE
2 x Gold @ 2.5 GHz
6 x Silver @ 1.7 GHz
64bit 8 Core Qualcomm® Kryo™
460 - 11nm LPP
2 x Gold @ 2.2GHz
6 x Silver @ 1.8GHz
64bit 8 Core Qualcomm® Kryo™
670 - 6nm
1 x Prime @ 2.7GHz
3 x Gold @ 2.4GHz
4 x Silver @ 1.9GHz
GPUQualcomm® Adreno™ GPU 615@780MHz
Qualcomm® Adreno™ GPU 612@845MHz
Qualcomm® Adreno™ GPU 643@812MHz
DSP
Hexagon 685 DSP with dual Hexagon Vector eXtensions (HVX)
Hexagon DSP with dual Hexagon Vector eXtensions (HVX), 1.1Ghz
6th gen Qualcomm AI Engine
Compute Hexagon DSP with dual Hexagon Vector eXtensions (HVX), Hexagon Co-processor (Hexagon CP) 2.0, 4K Hexagon Matrix eXtensions (HMX), Hexagon Tensor Accelerator (HTA)
Memory
LPDDR4x 4GB + eMMC 64GB
LPDDR4x 4GB + eMMC 64GB
LPDDR4x 8GB + UFS2.2 128GB
Connectivity
WLAN : Wi-Fi 4, Wi-Fi 5 (802.11ac) 2x2
BT : Bluetooth 5.1
WLAN : Wi-Fi 4, Wi-Fi 5 (802.11ac) 1x1
BT : Bluetooth 5.0
WLAN : Wi-Fi 6 (802.11ax) and Wi-Fi 6E
BT : Bluetooth 5.2
Camera
Spectra270 Dual ISP; 2x 16MP, 1x 32MP
4K 60fps video (HEVC enc/dec)
Spectra250L Triple ISP; 16+16MP, 24MP@30fps
4K 30fps video (HEVC enc/dec)
Spectra570L Triple ISP; 3x22 MP@30fps,
36MP@30fps+22MP@30fps, 64MP@30fps
ZSL 4K 60fps decode / 4K 30fps encode
Dimension
42mm x 35mm
50mm x 38mm
45mm x 45mm
OS Support
Android
Linux Embedded
Linux Ubuntu

Tech

wNet

Advancing specialized Deep Neural Networks (DNNs) for targeted problem-solving.

Applying our custom neural model wNet in diverse projects.

Bottom-center-based precise location detection of road-moving objects

Detection of flood risk through 

river width calculation.

Belt conveyor anomaly diagnosis through abnormal sound detection.

Anomalous heat source detection through flame detection technology.

Proprietary large-scale dataset from field-proven projects.


Tech

Network Slimming

Edge performance is preserved through model quantization and pruning.

Quantization

Post-training quantization applied for DSP deployment.

Pruning

Maintained detection accuracy at 90.2% AP@0.5 after pruning (down from 90.8%), while more than doubling inference speed.


Headquartersㅣ4F, BK Tower, 28 Beopwon-ro 11-gil, Songpa-gu, Seoul (05836)

Pohang Branch Officeㅣ#303, Venture Building 5, Pohang Technopark, 394 Jigok-ro, Nam-gu, Pohang, Gyeongsangbuk-do, Seoul

TELㅣ(HQ) +82-2-409-0301 E-mailㅣwithrobot@withrobot.com


© 2024 WITHROBOT. All Rights Reserved.