Tokyo, Japan – December 21th, 2022– Morpho, Inc. (hereinafter, “Morpho”), a global leader in image processing and imaging AI solutions, announced today that version 3.0 of “Morpho Deep Detector™” is now released. It is a general-purpose API library for AI-based object detection tasks.
In AI-based applications, object detection tasks are widely used as a fundamental technology. Examples of applications include pedestrians and vehicles detections in automated driving (AD) and advanced driver assistance systems (ADAS) which use in-vehicle cameras in the automotive field. In-vehicle cameras are also used for the recognition of occupants and objects. In the field of surveillance cameras, they are widely used to recognize people and their conditions.
Morpho has updated its object detection engine “Morpho Deep Detector™” to enable its use in such a wide range of applications.
– Object detection library “Morpho Deep Detector™”: https://www.morphoinc.com/en/technology/deepd
The latest version of “SoftNeuro”, a fast inference engine, is built into the “Morpho Deep Detector”. It supports a variety of hardware (CPU, GPU, and various AI accelerators). By maximizing the use of hardware resources, it realizes highly accurate object detection at high speed while keeping power consumption low.
– AI inference engine “SoftNeuro”: https://www.morphoinc.com/en/technology/sie
The learning model included in the product has been redesigned, and it is now capable of detecting 80 items*. In addition, the learning model can now be switched among five levels for pursuing detection accuracy or processing speed, depending on the application. This provides more options to users and allows more freedom in application development.
Morpho will continue to promote the product for use in the automotive/mobility field, surveillance camera/security field, and other applications.
Person | Road-related | Tableware | 60 | bed | ||||||
1 | person | 20 | traffic light | 40 | bottle | 61 | dining table | |||
Vehicle | 21 | fire hydrant | 41 | wine glass | 62 | toilet | ||||
2 | bicycle | 22 | stop sign | 42 | cup | 63 | sink | |||
3 | car | 23 | parking meter | 43 | fork | Home Appliance |
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4 | motorcycle | 24 | bench | 44 | knife | 64 | laptop | |||
5 | airplane | Portable Goods |
45 | spoon | 65 | mouse | ||||
6 | bus | 25 | backpack | 46 | bowl | 66 | remote | |||
7 | train | 26 | umbrella | Food | 67 | keyboard | ||||
8 | truck | 27 | handbag | 47 | banana | 68 | cell phone | |||
9 | boat | 28 | tie | 48 | apple | 69 | microwave | |||
Animal | 29 | suitcase | 49 | sandwich | 70 | oven | ||||
10 | bird | Sporting Goods |
50 | orange | 71 | toaster | ||||
11 | cat | 30 | frisbee | 51 | broccoli | 72 | tv | |||
12 | dog | 31 | skis | 52 | carrot | 73 | refrigerator | |||
13 | horse | 32 | snowboard | 53 | hot dog | General Goods |
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14 | sheep | 33 | sports ball | 54 | pizza | 74 | book | |||
15 | cow | 34 | kite | 55 | donut | 75 | clock | |||
16 | elephant | 35 | baseball bat | 56 | cake | 76 | vase | |||
17 | bear | 36 | baseball glove | Furniture | 77 | scissors | ||||
18 | zebra | 37 | skateboard | 57 | chair | 78 | teddy bear | |||
19 | giraffe | 38 | surfboard | 58 | couch | 79 | hair drier | |||
39 | tennis racket | 59 | potted plant | 80 | toothbrush |