Object Detection with Edge AI
Identifying and localizing objects in camera images on-device. Typical models include quantized MobileNet-SSD or YOLO-based architectures optimized for microcontrollers. Used for presence detection, people counting, quality inspection, and simple classification tasks.
Hardware Requirements
| Minimum RAM | 256 KB |
| Minimum Flash | 2048 KB |
| Sensor Inputs | camera |
| Typical Model Size | 250 KB (quantized int8) |
Compatible Microcontrollers
ESP32
Espressif
520 KB RAM · 240 MHz
$5–$15 (dev board)
ESP32-C6
Espressif
512 KB RAM · 160 MHz
$5–$15 (dev board)
ESP32-S3
Espressif
512 KB RAM · 240 MHz
$10–$25 (dev board)
i.MX RT1062
NXP
1024 KB RAM · 600 MHz
$25–$40 (dev board)
RA6M5
Renesas
512 KB RAM · 200 MHz
$25–$50 (dev board)
STM32F7
STMicroelectronics
512 KB RAM · 216 MHz
$25–$60 (dev board)
STM32H7
STMicroelectronics
1024 KB RAM · 480 MHz
$30–$80 (dev board)
STM32U5
STMicroelectronics
786 KB RAM · 160 MHz
$20–$50 (dev board)
Hardware Guides
ESP32-C6 Object Detection with Edge Impulse
The ESP32-C6 handles object detection effectively with Edge Impulse. 512 KB SRAM at 160 MHz provides 2.0x headroom over the 256 KB requireme…
ESP32-C6 Object Detection with TFLite Micro
The ESP32-C6 handles object detection effectively with TFLite Micro. 512 KB SRAM at 160 MHz provides 2.0x headroom over the 256 KB requireme…
ESP32 Object Detection with Edge Impulse
Espressif's ESP32 is a solid choice for object detection using Edge Impulse. The xtensa-lx6 core at 240 MHz with 520 KB SRAM accommodates 25…
ESP32 Object Detection with TFLite Micro
Espressif's ESP32 is a solid choice for object detection using TFLite Micro. The xtensa-lx6 core at 240 MHz with 520 KB SRAM accommodates 25…
ESP32-S3 Object Detection with Edge Impulse
Edge Impulse provides an end-to-end pipeline for deploying object detection on the ESP32-S3. You collect images, train a FOMO or MobileNet-S…
ESP32-S3 Object Detection with TFLite Micro
The ESP32-S3 runs quantized object detection models via TFLite Micro at 2-5 FPS. Its 512 KB SRAM and vector instructions handle int8 MobileN…
i.MX RT1062 Object Detection with CMSIS-NN
The i.MX RT1062 is an excellent match for object detection with CMSIS-NN. 1024 KB SRAM delivers 4.0x the 256 KB minimum while 600 MHz proces…
i.MX RT1062 Object Detection with TFLite Micro
For object detection, the i.MX RT1062 with TFLite Micro scores Excellent. Its 1024 KB internal SRAM (4.0x the required 256 KB) and 600 MHz c…
RA6M5 Object Detection with CMSIS-NN
Renesas's RA6M5 is a solid choice for object detection using CMSIS-NN. The cortex-m33 core at 200 MHz with 512 KB SRAM accommodates 250 KB m…
RA6M5 Object Detection with TFLite Micro
The RA6M5 handles object detection effectively with TFLite Micro. 512 KB SRAM at 200 MHz provides 2.0x headroom over the 256 KB requirement …
STM32F7 Object Detection with CMSIS-NN
STMicroelectronics's STM32F7 is a solid choice for object detection using CMSIS-NN. The cortex-m7 core at 216 MHz with 512 KB SRAM accommoda…
STM32F7 Object Detection with TFLite Micro
The STM32F7 handles object detection effectively with TFLite Micro. 512 KB SRAM at 216 MHz provides 2.0x headroom over the 256 KB requiremen…
STM32H7 Object Detection with CMSIS-NN
The STM32H7 is an excellent match for object detection with CMSIS-NN. 1024 KB SRAM delivers 4.0x the 256 KB minimum while 480 MHz processes …
STM32H7 Object Detection with TFLite Micro
The STM32H7 is one of the most capable MCUs for on-device object detection. Its 1 MB SRAM, 480 MHz Cortex-M7, and L1 cache run quantized Mob…
STM32U5 Object Detection with CMSIS-NN
STMicroelectronics's STM32U5 is a solid choice for object detection using CMSIS-NN. The cortex-m33 core at 160 MHz with 786 KB SRAM accommod…
STM32U5 Object Detection with TFLite Micro
The STM32U5 handles object detection effectively with TFLite Micro. 786 KB SRAM at 160 MHz provides 3.1x headroom over the 256 KB requiremen…
Hardware Comparisons for Object Detection
ESP32-C3 vs i.MX RT1062 for Object Detection
Side-by-side specs and compatibility scores (50 vs 85)
ESP32-C3 vs nRF52840 for Object Detection
Side-by-side specs and compatibility scores (50 vs 20)
ESP32-C3 vs RA6M5 for Object Detection
Side-by-side specs and compatibility scores (50 vs 55)
ESP32-C3 vs STM32F4 for Object Detection
Side-by-side specs and compatibility scores (50 vs 0)
ESP32-C3 vs STM32H7 for Object Detection
Side-by-side specs and compatibility scores (50 vs 90)
ESP32-C3 vs STM32L4 for Object Detection
Side-by-side specs and compatibility scores (50 vs 10)
ESP32-S3 vs i.MX RT1062 for Object Detection
Side-by-side specs and compatibility scores (85 vs 85)
ESP32-S3 vs nRF52840 for Object Detection
Side-by-side specs and compatibility scores (85 vs 20)
ESP32-S3 vs RA6M5 for Object Detection
Side-by-side specs and compatibility scores (85 vs 55)
ESP32-S3 vs STM32F4 for Object Detection
Side-by-side specs and compatibility scores (85 vs 0)
ESP32-S3 vs STM32H7 for Object Detection
Side-by-side specs and compatibility scores (85 vs 90)
ESP32-S3 vs STM32L4 for Object Detection
Side-by-side specs and compatibility scores (85 vs 10)
ESP32 vs i.MX RT1062 for Object Detection
Side-by-side specs and compatibility scores (65 vs 85)
ESP32 vs nRF52840 for Object Detection
Side-by-side specs and compatibility scores (65 vs 20)
ESP32 vs RA6M5 for Object Detection
Side-by-side specs and compatibility scores (65 vs 55)
ESP32 vs STM32F4 for Object Detection
Side-by-side specs and compatibility scores (65 vs 0)
ESP32 vs STM32H7 for Object Detection
Side-by-side specs and compatibility scores (65 vs 90)
ESP32 vs STM32L4 for Object Detection
Side-by-side specs and compatibility scores (65 vs 10)
i.MX RT1062 vs RA6M5 for Object Detection
Side-by-side specs and compatibility scores (85 vs 55)
nRF52840 vs i.MX RT1062 for Object Detection
Side-by-side specs and compatibility scores (20 vs 85)
nRF52840 vs RA6M5 for Object Detection
Side-by-side specs and compatibility scores (20 vs 55)
STM32F4 vs i.MX RT1062 for Object Detection
Side-by-side specs and compatibility scores (0 vs 85)
STM32F4 vs RA6M5 for Object Detection
Side-by-side specs and compatibility scores (0 vs 55)
STM32H7 vs i.MX RT1062 for Object Detection
Side-by-side specs and compatibility scores (90 vs 85)
STM32H7 vs nRF52840 for Object Detection
Side-by-side specs and compatibility scores (90 vs 20)
STM32H7 vs RA6M5 for Object Detection
Side-by-side specs and compatibility scores (90 vs 55)
STM32L4 vs i.MX RT1062 for Object Detection
Side-by-side specs and compatibility scores (10 vs 85)
STM32L4 vs RA6M5 for Object Detection
Side-by-side specs and compatibility scores (10 vs 55)
Industry Applications
Orchestrate Object Detection with ForestHub
Your devices run object detection on-device. ForestHub on your Linux edge gateway ingests their results over MQTT/Modbus/OPC-UA, orchestrates the sense-reason-act loop as an auditable graph, and acts on the line — the LLM is one node among many.