A OAK-T (OAK Thermal) é nossa primeira câmera com um sensor térmico e um sensor de imagem colorida.
Ao fundir quadros térmicos, quadros coloridos e modelos de IA, você pode criar uma ampla variedade de aplicações em diferentes campos, como:
Agricultura: Saúde de culturas, detecção de problemas de irrigação, detecção de pragas, monitoramento da saúde do gado, etc.
Industrial: Detecte superaquecimento, detecte vazamentos, detecte incêndios, etc.
Segurança: Detecte intrusos (visão noturna), detecte incêndios, etc.
Transporte: detecte pedestres, veículos e bicicletas para análise e otimização de tráfego.
O OAK-T aproveita nosso OAK-SoM-Pro para criar um design compacto geral. O uso do SoM reduz a escala do design, facilitando a montagem ou encaixe em qualquer lugar perfeitamente. O design também será de código aberto quando verificarmos o design do hardware.
O objetivo do dispositivo é ser usado para fabricação, armazenamento, eficiência energética e monitoramento de segurança.
A conexão PoE permite que as câmeras se comuniquem com outros computadores por meio de protocolos de rede ( TCP , UDP, HTTP , MQTT , etc.). Como nossos modelos PoE apresentam memória flash do dispositivo , você também pode executar seus programas no modo autônomo . As câmeras OAK PoE são alojadas em um gabinete robusto com classificação IP , necessário para uso industrial e externo .
Rastreamento de objetos : rastreamento 2D com nó ObjectTracker
Conectividade: conector M12 PoE e conector M8 para conectividade IO
Sensibilidade térmica: 50mK a 25°C e 25Hz
Faixa de medição: -15°C - 150°C
Resolução do sensor térmico: 256x192
Precisão térmica: ±2°C ou ±2% (o que for maior)
Tipo de sensor: Detector VOx não refrigerado
Faixa espectral: 8-14µm
Consumo de energia: até 6,5 W
Carcaça de alumínio de nível industrial com vidro frontal Gorilla Glass
Montagem de tripé de 1/4" e montagem Vesa M4 de 75 mm
Dimensão: 80x52x46mm
Peso: 297g (com gabinete)
Power-over-Ethernet (PoE)
The base board offers full 802.3af, Class 3 PoE compliance with 1000BASE-T speeds (1Gbps). PoE injector/switch is required to power the device. If need an injector, you can buy it here.
Most of the power is consumed by the RVC2, so the power consumption mostly depends on the workload of the VPU:
Base consumption + camera streaming: 2.5W - 3W
PoE circuitry: 0.5W
Thermal sensor: up to 1W
AI subsystem consumption: Up to 1W
Stereo depth pipeline subsystem: Up to 0.5W
Video Encoder subsystem: Up to 0.5W
So the total power consumption can be up to ~6.5W if you are using all the features at 100% at the same time. To reduce the power consumption, you can reduce FPS of the whole pipeline - that way, subsystems won’t be utilized at 100% and will consume less power.
Thermal perception
Thermal cameras detect infrared radiation, which is emitted by all objects based on their temperature. We use a special IR-capable lens to focus the infrared light emitted by all of the objects/scene in view, which is then scanned by an array of infrared-detector elements (“pixels”) in the camera.
Specs
Value
Sensor part number
Tiny1- C 256 02011 X H WR
Measurement range
-15°C - 150°C
Thermal sensitivity
50mK @ 25°C and 25Hz
Thermal Accuracy
±2°C or ±2%
Sensor type
Uncooled VOx detector
Spectral range
8-14µm
Operating temperature
-10°C - 75°C
Power consumption
<1W
Communication
SPI (data) and I2C (control)
Thermal perception range
Thermal perception range is similar to color camera’s range, it mostly depends on the object’s size and temperature. For example, with you can easily detect a large building even from 1km away, but you won’t be able to detect a small animal from that distance. The following table shows the approximate thermal perception range for different object sizes:
Object
Size
Detection
Recognition
Identification
Human
1.8m x 0.5m
200m
50m
25m
Car
4.5m x 2m
500m
125m
63m
The DRI (Detection, Recognition, Identification) ranges are based on the Johnson's criteria, which is a standard for optical systems. Specifications are as follows:
Detection: The ability to notice that something is there, but without the ability to identify it
Recognition: Being able to classify the type of object (like distinguishing a car from a truck)
Identification: The capability to specify the exact nature of the object (like determining the make and model of a car).
Thermal accuracy over distance
Thermal accuracy decreases as the distance increases. To minimize this effect, we perform a 2-point calibration during factory setup. However, some deviation in measurements remains, influenced by the distance and the actual temperature.
M12 PoE connector is used for power and GBit data transfer. Additionally M8 connector for IO connectivity; USB2 (D+, D-), camera IOs (FSIN, STROBE), power, and one auxiliary GPIO. Cap for M8 is included when connector is not used to ensure water resistance. More information can be found here.
Rotate the locking ring (not the connector body) clockwise (CW) with <0.8 Nm torque to securely connect the cable.
Integrated IMU
This OAK camera has an integrated BMI270, a 6-axis IMU (Inertial Measurement Unit). See IMU node for the API details on how to use it.
Operating characteristics
This camera is shipped with IP67 rated enclosure. More details can be found here.
Temperature
The ambient operating temperature of RVC2 based devices is between -20°C and 50°C when fully utilizing the VPU. To find out more, see our operating temperature range documentation.
